????London or Remote (UK) | ????salary will be dependant on experience + Benefits |

⭐ Our Supplier Operations team

We’re looking for a strategic and commercially minded Senior Procurement Manager to support our ambitious global growth goals. You'll be instrumental in advancing Monzo’s procurement capabilities to align with our expansion, identifying opportunities and managing risks effectively. This is a fantastic opportunity for someone keen to progress their career in a dynamic, tech-focused bank with bold ambitions.

You'll be joining a small, high-performing team that is committed to delivering exceptional results for Monzo and its customers. Working on diverse projects, including our expansion into new markets, you'll gain unique insights into Monzo's operations at every level.

Reporting to the Supplier Operations Lead, you’ll be a key member of the team, taking charge of sourcing, negotiating, and managing supplier relationships. You'll collaborate closely with internal stakeholders to ensure procurement strategies effectively support Monzo's objectives, particularly as we extend our reach into the EU.

???? You’ll play a key role by…

• Leading critical procurement initiatives that advance Monzo's strategic goals and support our growth
• Developing strong relationships with internal business partners to ensure suppliers and procurement strategies are in sync with our long-term business objectives
• Building and maintaining long-term, mutually beneficial relationships with suppliers
• Working alongside the business to achieve optimal commercial outcomes without sacrificing quality, service, or safety
• Playing a pivotal role in identifying and onboarding the right third-party partners
• Serving as an expert in procurement, commercial strategies, and relationship management
• Partnering with internal teams, including Legal, Compliance, Tech, Finance, Product, and Operations, to facilitate growth initiatives and ensure procurement's role in enabling scalable business solutions

???? We’d love to hear from you if…

• You possess a strong understanding of procurement in high-growth, technology-driven environments, ideally within fintech or other fast-paced industries
• You have demonstrated experience in navigating procurement challenges associated with global expansion, including a deep knowledge of regulatory requirements and market-specific dynamics
• You have a proven track record in purchasing technology and software licences
• You are well-versed in information security and cyber risk management
• You obtain a comprehensive understanding of regulations governing outsourcing in financial services or insurance sectors
• You are skilled in utilising procurement, contract lifecycle management tools and platforms to enhance process efficiency
• You are experienced with procure-to-pay processes and ERP systems

???? The application journey has 3 key steps

• 30 minute Recruiter call 
• 30 minute Initial call with the Hiring Manager
• 2 hours of technical and behavioural interviews

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

You’ll hear from us throughout the application process, but if do have any specific questions please contact us on business-hiring@monzo.com. You can also use this email address to let us know if there’s anything we can do to make the process easier for you because of disability, neurodiversity or anything else.

???? What’s in it for you

???? Competitive base salary ➕share options

???? This role can be based out of our London office next to Liverpool Street station (a hybrid of office based and home working) or fully remote within the UK

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team

???? £1,000 learning budget each year to use on books, training courses and conferences

???? We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup

➕ Plus lots more! Read our full list of benefits.

#LI-Remote #LI-OS1

????London, Cardiff Or UK Remote | ????Framework £65,000 - £80,000 + Benefits | ???? Check out our Career Launchpad.

We’re looking for an experienced Financial Crime Senior Operations Manager to join the Monzo journey and lead part of our Financial Crime Operations. You will join an exciting brand, with an exciting mission and you will have the opportunity to build your function to help us achieve it.

In Financial Crime Customer Operations we protect Monzo, our customers, and wider society from financial crime, to help Monzo achieve its mission of making money work for everyone. We believe that our Financial Crime COps are best placed to deliver this when they have a holistic understanding of financial crime tasks and typologies. This means that we tackle all types of financial crime as one financial crime team, working together to address money laundering, sanctions breaches, terrorist financing, bribery, corruption, tax evasion, and more. To facilitate this, you’ll have the opportunity to lead teams working across these typologies.

Every person in our team cares deeply about their work and the impact that it can have on Monzo and our customers. We work in teams of around 12 people, with each team completing a specific type of work - for example, PEP screening, while others have a more diverse set of skills.

Each team manager supports and coordinates the work of their investigators, and is in turn led by an Operations Manager. You’ll directly manage at least one Operations Manager, and you’ll be helping them and their teams to achieve their professional development goals and deliver on our financial crime goals.

⭐ What you’ll be working on

You’ll organise the people around you, be a point of escalation, and take appropriate action whenever you see a problem coming - whether it’s a service challenge, a risk associated with a financial crime task, or an urgent personal issue. You’ll listen to your people, guide them through the challenges associated with scaling a company like Monzo, celebrate their every success, and drive the right outcomes for our customers and Monzo.

As you’d expect, you’ll also have responsibility for some disciplinary and grievance matters, and work closely with your colleagues in other Operations teams and the People team to make sure that we apply these policies fairly and consistently.

You’ll be a direct report of our Financial Crime Operations Director, and be part of their leadership team.

????You’ll play a key role by…

• Instilling a high performance culture focused on the completion of accurate, efficient work, and risk-awareness, in a team that needs to be laser-focused on both the customer experience and the safety of the bank
• Being fully accountable for the performance and outputs of your function, ensuring we meet what is expected of us by our customers and policies.
• Constantly thinking about the skills that our financial crime operations teams need, and making sure that our people have the knowledge required to do the job to the highest standard 
• Being an effective advocate and communicator of change
• Supporting the rest of the leadership team in critically assessing our current processes, aiming for continuous improvement
• Helping us become an exceptional place to work for the ambitious, highly-motivated investigators that we hire
  
  

????We’d love to hear from you if…

• You have significant experience leading teams working in financial crime or fraud, and are a recognised leader across the industry in one or more of these disciplines
• You’ve led successful, highly skilled teams to achieve their goals and have an empathetic leadership style
• You’re as comfortable working 1:1 as communicating with large groups
• You empower your people to find solutions themselves
• You can motivate teams working on ongoing operational work
• You are very hands-on and solve problems when you spot them
• What we are doing at Monzo excites you!
• You’ve been at Monzo for at least 6 months and have passed your probation period

⏳ This role will be advertised internally for 2 weeks. Applications closeon Tuesday 29th October at 4pm.

???? The application journey has 4 key steps:

Application
Recruiter Call
Role Specific/Technical Interview
Leadership/Stakeholder

????What’s in it for you ..

????Salary £65,000 - £80,000 

????This role can be based remotely from anywhere within the UK

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

????£1,000 learning budget each year to use on books, training courses and conferences.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

#LI-REMOTE #LI-DR

London | UK remote | Benefits | Hear from the team

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Business Banking Team:

Our Mission in Business Banking is to simplify banking for small businesses - this means making business banking fairer, simpler, and more transparent for small businesses. Monzo Business Banking is fast growing and was recently named as the Standout Business Bank by 11:FS. Data is crucial to the success of this mission and product data scientists are the core of how we build and scale our data to Enable Monzo to Make Better Decisions, Faster, and help serve Monzo’s businesses. 

As we scale Business Banking, we’re looking for a Senior Data Science Manager to lead our data team and product strategy more holistically.

You’ll be working in an ever changing environment in collaboration with the General Manager and BB Leadership team.

You’ll help us build and improve these for now and for our future roadmap. We’re looking for a leader with hands-on experience, data driven strategic leader who can bring fresh thinking and new ways to inspire the team and our customers.

What you’ll be working on:

You’ll work closely with the General manager, product director, engineering managers, designers and researchers in an agile product environment. You are expected to drive product strategy using data and also serve as a core member of the Business Banking leadership team. You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. You’ll help us get the most out of volumes of cloud native data platform, spotting opportunities to make each area of our product work even better for our users. You and your team will drive product innovation and you’ll get to see the impact of all your work in the product changes we make.

You will be a key leader in building a discipline of exceptional data scientists and analytics engineers working on making Monzo world class in Business Banking, as well as having the opportunity to help your team’s career progression and development.

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

You should apply if:

• You have multiple years of experience in product data science, with 3 or more years working in Senior or Lead positions within Data Science or Analytics.
• You have had experience managing high performing senior teams of 8-10 people
• You consider yourself an empathetic leader and have experience managing data scientists and analytics engineers and you really enjoy that part of the job.
• You are a strong strategic data leader and love to drive decisions
• You are comfortable exploring potentially ambiguous business problems and enjoy using data to drive decisions
• You have experience building a strategic understanding of the business while structuring complex projects to bring them to life
• You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities
• You have experience building relationships and working together and collaborating with senior business stakeholders and product teams
• Experience with working with c-level peers
• You know what it takes to lead top tier Data Science and Analytics Engineering talent talent
• You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same

The Interview Process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute call with hiring manager 
• 3 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

What’s in it for you:

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2  #LI-Remote

???? £34,000 - £46,000 + stock options + Benefits???? London, Cardiff or Remote (Preference would be London based but we will consider UK Remote and Cardiff)

About the role:

We’re looking for a Hiring Coordinator to join the Hiring team at Monzo. This role will support the Engineering & Engineering Leadership team.  You’ll be supporting our growth by going the extra mile so that every candidate feels valued and respected, and moving mountains in the background to make interviewing with Monzo an effortless and delightful process.

Your day-to-day:

• Partnering with Recruiters, Executive Assistants and interviewers to schedule all candidate interviews
• Juggling complex diaries for our interviewers and finding ways to make scheduling easier
• Providing an amazing, memorable, stress-free experience for candidates during their interview process, including showing them round our London office
• Managing candidate travel and relocation, if needed
• Doing the onboarding admin for new hires and adding them to our internal systems
• Kicking off & monitoring background checks, including some in person right to work checks from our London office
• Working with People Operations & People Experience to make sure things are set up for new hires’ first day
• Working on projects to make all of our hiring processes run like clockwork

You should apply if:

• You have experience in a senior administration, Executive or Personal Assistant or coordination role - not necessarily in Hiring, although applications with a hiring coordination background will be prioritised.
• You have a genuine passion for hiring coordination and scheduling interviews. This is not a recruiter role.
• You’re highly organised with great attention to detail.
• You've worked with high growth technology companies.
• You’re a great communicator, both in person and in writing.
• You have experience working with lots of stakeholders (internal & external), and adapting your working style to suit their needs.
• You have experience of working on lots of different requests & tasks at the same time, and are able to prioritise the most important things.
• You're comfortable dealing with shifting priorities and adaptable when things change.

The Interview Process:

Our interview process involves 4 main stages: 

• Recruiter Call
• Take Home Task (max 2 hours)
• Role Specific Interview (45 mins)
• Values & Collaboration Interview (45 mins)

Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our hiring team at various points during your process, but if you do have any specific questions before this please contact us on debbie.roscoe@monzo.com

⏳ We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

What’s in it for you:

????This role will ideally be based from our London office although we will consider remote/Cardiff based applications.

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for training courses and conferences ➕And much more, see our full list of benefits here

#LI-DR

????London | UK remote | ???? £80,000 to £90,000 + Stock Options + Benefits | Hear from the team

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Data Science Team:

We're looking for a Senior Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user experience in 2024 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 9 million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

What you’ll be working on 

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into Borrowing product squads alongside engineers, designers, marketers and product managers.

Your day-to-day

• Apply your expertise in analytics and data science to build a comprehensive understanding of our customers through identifying their needs and behaviours to steer data driven product development.
• Lead and empower product teams to measure things that matter to improve our products and customer experience.
• Design, implement and analyse A/B tests to assess the impact of product features and changes.
• Collaborate with user research to use data to enhance insights and guide strategic decisions.
• Develop and maintain data pipelines, dashboards, and reporting tools to monitor product performance.
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights.

You should apply if:

What we’re doing here at Monzo excites you!

• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL and preferably Python
• You have experience in conducting large scale A/B experiments

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Technical assessment
3. Final interview including a case study and collaboration interview 

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com 

What’s in it for you:

???? £80,000 to £90,000 + Stock Options + Benefits

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2 #LI-Remote

????London OR UK Remote | ????£55,000-£77,000 + Benefits | Hear from the team ✨ 

????We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking. 

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!

We’re not about selling products - we want to solve problems and change lives because Money never felt like Monzo ❤️

About ourFinancial Crime team:

We're looking for a financial crime Data Analyst excited to help build the bank of the future. At Monzo, we’re growing extremely fast and have over ten million customers in the UK, with over 250,000 new people joining every month. 

At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Every engineer at Monzo is responsible for collection of relevant analytics events from their microservices. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives our data team the head space to focus on more impactful business questions and analyses.

You’ll play a key role by...

You will be responsible for partnering with subject matter experts in financial crime to surface key insights that will help drive decision-making, and using data to solve financial crime problems. You will work together with other members of the data discipline to maintain high quality, accurate data that our colleagues can rely on, improving our ability to fight financial crime and keep customers safe. Some of the problems you might work on include monitoring our financial crime detection and prevention systems, helping our investigators do their job efficiently and effectively, and helping Monzo maintain transparency and effective reporting with its regulators.

Your day-to-day  

• Build robust data models, reports, dashboards and visualisations (mostly in BigQuery SQL and Looker) that support the financial crime team in its mission.
• Translate regulatory reporting requirements into highly accurate data models and set the strategy for how we ensure the best possible data accuracy
• Investigate and effectively work with colleagues from other disciplines to address and improve data quality
• Conduct deep dives into various financial crime systems for financial crime detection, prevention, investigation and victim handling to identify key business opportunities
• Develop and drive data solutions that improve our ability to fight financial crime and keep customers safe
• Note: this role is more focused on developing dashboards, business reporting, high quality tables and data pipelines; it is not focused on advanced analytics or machine learning. If you are more interested in that type of work, consider applying to one of our data scientist roles.

We’d love to hear from you if…

• What we’re doing here at Monzo excites you!
• You’re keen to support the business by developing dashboards, high quality tables and data pipelines.
• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're passionate about data and using that data to improve & inform business decisions
• You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL 

????What’s in it for you

????£55,000 - £77,000 ➕share options.

✈️ We’ll help you relocate to the UK. 

✅ We can sponsor your visa. 

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) 

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

????£1,000 learning budget each year to use on books, training courses and conferences.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

The Interview Process:

• Recruiter Call
• Initial Call 
• Take home task
• Final interview including a technical case and a behavioural interview 

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2023 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

#LI-SL1  #LI-Remote

????London or Remote (UK) | ???? £35,000 - £50,000 + Benefits | Hear from the team ✨

⭐ Our Offensive Security team

This role sits within our Offensive Security team, reporting into the Offensive Security Manager. But this team is a part of the wider Security collective here at Monzo, a power-house team of passionate security professionals all working to make Monzo as secure as possible for our customers.

At our core though, the Offensive Security team is made up of breakers, not makers. We find the vulnerabilities, prove exploitability, then work with the other teams to fix those problems. We aren’t developers though, so we give advice to mitigate issues but don’t start coding fixes ourselves.

????You’ll play a key role by…

The work we do within the Offensive Security team is varied, but all involve hacking in one way or another. A lot of our work is project-based, with focus placed on areas we consider weak. This might mean hacking some new internal software or testing a new feature in the apps for example.

We also do projects that simulate a real adversarial attack (a bit like red teaming), and cooperate with our defensive teams to improve capabilities and skills.

The biggest service we provide to the other teams is placing a security mindset in the room. Ask those “what ifs” and get people thinking like an attacker. And it always helps to have a proof of concept to show to others!

As an Offensive Security Engineer, you’ll first be covering the smaller projects the more senior engineers can’t get to. This could include:

• Testing new features in the Monzo apps (mainly the mobile apps, but sometimes web apps too)
• Testing internal and public web services that support our products, tools and systems
• Doing network testing (like attacking our office networks or hunting for vulnerabilities in sensitive networks)
• Supporting the security bounty program

As you get more familiar and confident within the team, we’ll encourage you to take on some bigger, more challenging projects to help with your career progression at Monzo. But you won’t be alone, and always have the support of the others in the team!

????We’d love to hear from you if…

First and foremost you:

• Have an unending curiosity to understand how the security of systems work at all levels
• Have a strong attacker mindset, always thinking “what if I did…” when testing a system

The following would be nice, but aren’t requirements:

• At least 2 years experience in security testing (ideally internal testers or consultants)
• An industry recognised qualification such as CREST CRT, CCT (APP or INF), OSCP, OSCE or other equivalent (don’t be put off if you don’t have any, experience is preferred!)

????What’s in it for you

????£35,000 - £50,000 ➕ share options.

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) (Please note, we are notable to offer sponsorship or relocation to the UK for this role)

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

????£1,000 learning budget each year to use on books, training courses and conferences.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

???? The application journey 

If shortlisted after your application, you’ll firstly have a chat with one of the Hiring Team. If successful following on from this ⬇️

• Initial call with a member of the security team
• Technical interview
• Values and Collaboration interview

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo ???? You can read them here.

You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to business-hiring@monzo.com. You can also use this email address to let us know if there’s anything we can do to make the process easier for you because of disability, neurodiversity or anything else.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out! 

If you’d prefer to work part-time, please let us know and we'll make this happen if we can.

Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2023 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

Linkedin Tags: #LI-REMOTE#LI-MY1

????Location | UK remote |  ???? £80,000 to £90,000 + Stock Options + Benefits

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Data Science Team:

We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2023 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over four and half million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

What you’ll be working on 

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into the Subscription product squad alongside engineers, designers, marketers, product managers etc. Subscription is focused on developing value propositions tailored to your needs and identifying key growth levers.

Your day-to-day   

• Applying your expertise in analytics, data science, and data storytelling  to build a comprehensive understanding of our customers, identifying their needs and behaviours to improve product offerings and customer experience.
• Lead and empower product teams to measure things that matter; initiate or facilitate run A/B experiments to keep improving everything we do
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights
• Collaborate with the finance team to align on the lifetime value of our users, ensuring our investments are aligned with initiatives that enhance profitability

You should apply if:

What we’re doing here at Monzo excites you!

• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL and knowledge of Python and Looker
• You have experience in conducting large scale A/B experiments

The Interview Process:

Our interview process involves three main stages: 

1. Initial Call 
2. Technical assessment
3. Final interview including a case study and collaboration interview 

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com 

What’s in it for you:

????£80,000 to £90,000 ➕ plus stock options & benefits

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

????London/Cardiff/UK Remote

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Treasury Data Team:

We're looking for a Data Analyst to join Monzo’s growing, high performing Treasury Data team.  In this role, you’ll give support to Treasury in rolling out and embedding core elements of the treasury framework into scalable data assets so that we’re ready to support our business ambitions as we grow. You’ll be comfortable working within ambiguity, exploring problems and executing solutions.

You’ll cover a large scope of our finance data suite including Balance Sheet Management, Treasury Markets and KRI reporting.

Your day-to-day   

• Work closely with the Treasury, wider Finance Data team and other stakeholders to understand our data and support Treasury projects as Monzo grows.
• You will sit at the intersection of Treasury and Data and will help to translate Treasury problems into data solutions
• Assisting in the implementation of our Treasury systems and building the downstream reporting functionality from the system
• Use your commercial awareness to help understand and solve the problems with the greatest business impact 
• Use your expertise to generate data insights to support the team to meet their goals
• Contributing to data across Monzo by sharing your insights, improving our core data pipelines and proactively spotting opportunities for applications of your work in other areas of the business

We’re looking for someone who cares deeply about understanding our business, customers and risks, who can communicate their findings clearly to business partners and can drive actions on top of insights.

You should apply if:

• What we’re doing here at Monzo excites you!
• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You delight in automating processes, building datasets and analysing data to support business decisions
• You're a team player whom your colleagues can rely on.
• You have solid grounding in SQL and preferably Python

• Experience working with interest rate risk, liquidity risk or financial systems is a bonus but not a must have
• Experience working with visualisation tools like Looker is preferable

The Interview Process:

Our interview process involves three main stages: 

1. Recruiter Call
2. Initial Call 
3. Take home task 
4. Final interview including a case study and a behavioural interview 

Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com 

What’s in it for you:

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2023 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage ????

#LI-SL1 LI-REMOTE

????Remote US (Pacific Standard Time Zone only) | ???? $45,000 - $50,000 + Equity|

Monzo is a leading financial technology company, with over 10 million customers, committed to providing modern banking solutions. In the last few years, we’ve built a banking app that our customers love – with extremely high daily engagement, an industry leading net promoter score, and award-winning customer support. Today we are the 7th largest bank in the UK and we’ve raised over $1 billion from CapitalG, YCombinator, Stripe, Coatue, Eric Schmidt, Mike Moritz, and others – most recently at a $5 billion valuation. 

We were founded to make money work for everyone. With that in mind, Monzo is investing to accelerate our US expansion. We’re a small team operating like an early stage startup in the US but with the financial, operational, and engineering muscle of a larger company. We’re focused on building an amazing US product, shipping and iterating quickly, and deepening our product market fit. We’re looking for highly driven, enterprising people to help us achieve our mission and bring the Monzo magic to the US.

The Role

We are looking for passionate Financial Crime & Fraud Analysts to help support and protect our customers and company from FinCrime risks, to join our financial crime operations team. This is someone who is growing their career in the financial crime industry, who loves solving problems and keeping up-to-date with the latest fraud trends, and is eager to help Monzo make money work for everyone.

In the FinCrime & Fraud team, you'll be investigating transaction monitoring flags for fraudulent activity encompassing fraud and money laundering. You'll use your skills to work out what’s happened, prevent fraud, and report your findings. You’ll make sure we are onboarding the right customers safely. As you gain experience you'll be able to take on more complex work and grow your skills in different areas of Fraud, AML, and Compliance.

Your day to day

As a FinCrime & Fraud Analyst, you will be fundamental in supporting the Financial Crime Operations Team's ongoing goals to develop and strengthen our fraud capabilities. You’ll be contributing to our strategy to build, develop and deliver improvements to our suite of fraud controls for Monzo, using the very latest technologies to ensure fraud risks are effectively identified and analyzed. You’ll also work extremely closely with our Product, Engineering and Operations teams to provide analysis which will aid with identifying problem statements or when implementing new controls or changes.

What you’ll be working on: 

• Using our full suite of tools to build a timeline of a financial crime inquiry and deliver fair decisions and outcomes promptly. 
• Questioning our customers effectively and efficiently without influencing their answers, or making them feel interrogated
• Making fair decisions based on your high quality investigation and in line with external regulations and internal policies, to deliver fair outcomes for our customers
• Engaging with our partner bank and third party vendors about reports of fraudulent behavior
• Providing Subject Matter Expert fraud knowledge and being one of the point people for any questions/requirements.
• Provide analysis and data to support the improvement of the performance and optimization of our fraud controls through deep knowledge of fraud typologies.
• Providing continuous support to the Operations Team responding to escalations
• Building a close relationship with our partnering teams and ensuring sufficient communication and knowledge sharing on process improvements
• Escalating threats and trends to senior management

You should apply if: 

• You’re willing to work at least one weekend day (Saturday or Sunday) 
• You are passionate about stopping Fraud and putting customers first.
• You have experience working in Fraud, AML or operational teams, and experience working with customer resource management systems and tools.
• You enjoy a fast-paced, high-volume FinTech environment 
• You’ve had exposure to working with product managers, engineers, data 
• You love solving problems, and can explain complex activity clearly to others
• You’re a self-starter who is well organized and can work under pressure to tight deadlines.

Nice to haves:

• You have already worked on a Fraud team in a fast paced startup environment
• You hold, or are working towards, qualifications or courses in fraud such as ACAMS, CFE, or other fraud certificates.

The Interview Process:

Our interview process involves four main stages: 

• Recruiter Call (30 mins)
• Take Home Task (to be completed within 7 days)
• Hiring Manager Call (30 mins)
• x2 final interviews via Google Meet (30 mins each)

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on core-hiring@monzo.com

What’s in it for you:

???? $45,000 - $50,000 (Depending on experience and location)

???? This role can be fully remote within the USA (Pacific Standard Time Zone only)

???? Learning budget of $1,500 a year for books, training courses and conferences

???? Generous 401k with 4% employer match

➕And much more, see our full list of benefits here

Security Analyst Year in Placement - September 2025 Start 

Closing Date 1st November 2024

????London or UK Remote  | ???? £25,000 | Start Date September 2025 

We are seeking 2 highly motivated and passionate individuals to join our Security team at Monzo for placement for a duration of 12 months. This year in placement offers an opportunity for students pursuing studies in Information Security to gain practical experience in a dynamic fintech environment. It will consist of two six-month rotations in our Information Security and Security Operations Squads. 

Key Activities:

We have listed the type of work done by an information security and security operations analyst below. You won’t be responsible for every activity over the course of your six month rotation but will have opportunities to contribute in a range of these areas.

Information Security

• Work with the rest of the business to onboard high priority suppliers and partners while managing the associated security risk
• Get involved in improving how we manage Security at Monzo. We want to leverage new technologies such as generative AI to transform traditional approaches to Security 
• Work closely with the rest of the business to assess and help mitigate the security risks in high priority business changes including product launches
• Engage with our Security Engineering, Offensive Security, Security Operations and Data Protection teams in everything that you do at Monzo. This will give you exposure to a wide variety of security domains
• Interface with our 1st, 2nd and 3rd line risk teams when they are delivering Internal Audits, completing 2nd line risk reviews or controls testing
• Contribute to the development and delivery of security awareness materials and initiatives for employees
• Participate in promoting a security-conscious culture throughout the organisation
• Support us in making sure we’re compliant with relevant laws and regulations

Security Operations

• Assist in monitoring security events and alerts using security information and event management (SIEM) tooling
• Analyse security event data to identify potential indicators of compromise (IOCs) and security incidents
• Collaborate with incident response teams to escalate and investigate security incidents
• Participate in security incident response activities, including containment, eradication, and recovery
• Document incident response procedures and outcomes for post-incident analysis and improvement
• Contribute to the collection and analysis of threat intelligence data to identify emerging threats and trends
• Assist in integrating threat intelligence feeds into security operations processes for proactive threat hunting
• Contribute to the tuning and configuration of security tools to improve detection accuracy and reduce false positives

???? We’d love to hear from you if… 

• Currently pursuing a Bachelor's or Master's degree in Information Security, Cybersecurity, Computer Science, or a related field
• You are currently completing your second year at University, you should be completing your final year after the placement years have concluded
• Understanding of information security principles, practices, and technologies
• Strong interest in security operations, incident response, and threat detection methodologies
• Analytical mindset with the ability to analyse and interpret data effectively
• Excellent communication skills, both written and verbal, with the ability to collaborate with cross-functional teams
• Open to experience opportunities in a wide range of security roles
• Familiarity with security tools such as Security Information and Event Management (SIEM), Intrusion Detection / Prevention Systems (IDS/IPS), and Endpoint Detection and Response (EDR) solutions is desirable

Please note you must hold the right to work in the UK through the full duration of this placement. 

????What’s in it for you

Starting September 2025

????£25,000 annual gross salary 

????This role can be based in our London office, or we are open to remote working across the UK with adhoc meetings in London

⏰ We offer flexible full-time working hours and trust you to work enough hours to do your job well, and at times that suit you and your team 

???? Top-spec Macbook to use over the course of your time with us 

???? Knowledge-sharing sessions with your squad and wider discipline 

???? Team and company wide socials / events 

???? Lunch on Monzo twice a week from a range of street food vendors 

???? The application journey has 3 key steps

Our application process involves three main stages:

1. Submit your application with the short questions answered 
2. Role Specific Based Interview 
3. Values Based Interview

The closing date for applications is 1st November 2024, but we encourage you to apply as soon as possible. Interviews will commence in November! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com.

Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

????London/Cardiff/UK Remote | ???? £135,000-165,000 + Benefits | Hear from the team ✨

⭐About Ops Data:

Our Operations Data team consists of over 35 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists.

In our Operations Collective you'll have the opportunity to embed into an area that is the heart of how we work with our customers’ problems - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning, to customer support experience, to enabling teams to work effectively and efficiently.

????You’ll play a key role by...

As a Senior Lead ML Scientist, you’ll be on of the most senior Individual Contributors (IC) in the organisation, giving you a real opportunity to lead us into an exciting new phase of optimising Customer Operations, enabling us to craft a world-class support experience for over 9 million customers across the UK, and beyond as we continue to grow. 

You’ll provide key technical leadership and ship highly impactful ML-based solutions. You’ll be empowered to work across the collective identifying the most impactful areas and pushing solution development forward while mentoring and levelling up less experienced ML practitioners. You’ll also impact how people across Monzo use ML tools to improve customer outcomes, including LLMs, which have their heaviest use within the Operations team.

Machine Learning Scientists at Monzo work end to end, so you’ll have the opportunity to collaborate across not only the data disciple, but with cross-functional squads, to deliver real-time models all the way to actual value

????We’d love to hear from you if…
What we’re doing here at Monzo excites you!

• You have a multiple year track record of excellence leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems, preferably in a fast moving tech company
• You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You have a solid grounding in SQL and Python, are comfortable using them every day, and keen to learn Go lang which is used in many of our microservices 
• You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact
• You are comfortable exploring potentially ambiguous business problems within a complex and rapidly growing organisation
• You're excited about the potential of machine learning and can communicate those ideas to colleagues who are not familiar with the domain
• You’re adaptable, curious and enjoy learning new technologies and ideas
• You have experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across the team
• You’re comfortable moving across teams within a larger organisation, optimising for where you can be most impactful and tracking multiple projects at once

Nice to haves:

• Experience working within large Customer Support and internal product spaces
• Experience with NLP tasks
• You have commercial experience writing critical production code and working with microservices

????What’s in it for you

✈️ We’ll help you relocate to the UK. 

✅ We can sponsor your visa.

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) 

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

????£1,000 learning budget each year to use on books, training courses and conferences.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

????Our interview process involves 3 main stages. 

We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute call with hiring manager 
• 1 take home task 
• 3 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability.

You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

#LI-REMOTE #LI-NJ1

????London | UK remote | Benefits | Hear from the team

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Data Science Team:

We're looking for a Senior Data Science Manager for our CRM team to help build the bank of the future. As a key leader, you will take ownership of all data-related aspects of our end-to-end direct-to-customer marketing approach. You will play a critical role in shaping and supporting our CRM strategy by implementing advanced measurement techniques to ensure we accurately assess the impact of our efforts. Additionally, you will oversee our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in advancing our segmentation strategy and collaborating with product teams to create a personalised future through the development of a dynamic decisioning layer.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 10 million customers in the UK, with over 200,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. 

This is a great opportunity to shape the future direction of CRM for all of Monzo, as we lay the foundations to build a best in class analytics function. You’ll work closely with our marketing, product and engineering teams to build a sustainable CRM approach, building out our initial campaigns into a full set of personalised, optimised marketing communications. 

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 

As part of this role you’ll:

• Lead our experimentation approach to understand the causal relationships between our CRM activity and product KPIs.
• Own responsibility for creating, improving and maintaining our reporting suite of CRM metrics, including message engagement across email, in app messaging, outcome metrics (product awareness and adoption) as well as do not harm metrics (like marketing unsubscribes). 
• Scope a full CRM analytics roadmap, working with a cross functional team inclusive of machine learning engineers, analytics engineers.
• Build close relationships with the senior marketing leadership, informing and aligning on strategy whilst also promoting visibility of the performance of CRM.
• Lead your team to democratise data across all partner teams, specifically training and upskilling CRM Managers and enable self-serve data products.
• Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling operations problems
• Have the opportunity to manage exceptional Data Scientists and help their career progression and development.

You should apply if:

• You have multiple years of experience in CRM data, with 3 or more years working in Senior or Lead positions within Data Science or Analytics.
• You consider yourself an empathetic leader and have experience managing data scientists and you really enjoy that part of the job.
• You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities.
• You have both technical and non-technical experience working together and collaborating with senior business partners and product teams.
• You are able to communicate complex information in a clear and relatable way.
• You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same.
• You have experience working on a product analytics role and have conducted large scale A/B experiments.
• You have previous exposure to direct-to-customer marketing.
• You’ve worked closely with machine learning teams and have a good understanding of how machine learning can be applied to CRM.

The Interview Process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute call with hiring manager 
• 3 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

What’s in it for you:

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2  #LI-Remote

????London or Remote (UK) | ???? Base salary for this role is between £130,000 and £160,000, depending on experience + stock options + Benefits

About the team

This role is for a Senior Engineering Manager in the Business Banking collective. You will be leading across teams in an org of up to 20 people. We’re expanding and your role as the Senior EM will be to grow and build new squads as needed. Your direct reports will include Tech Leads, Senior Engineers and 1-2 Engineering Managers.

Our vision in Business Banking is to become the “Financial control centre” for SMEs. We are aiming to do this by providing the features, funding and services that businesses need. We want to integrate seamlessly with their existing tools to make them more powerful, and automate painful manual processes for SMEs. 

Our journey so far:

• 400,000+businesses in the UK now bank with Monzo
• We won the #1 Business Banking Provider in the British Banking Awards

Building on the Monzo experience we want to adopt and enhance our existing features and provide new features that are specific to businesses. For example, building on top of Pots we provide businesses with Tax pots that allow them to automatically put money aside on every incoming payment to be used later in the year as they file their taxes. We also build new Business specific features like the integrated Invoices that allow businesses to create, send and manage their Invoices directly via their account.

Our teams have a wide remit working vertically across all the layers of the application from the apps to the backend systems, and also horizontally across operations and internal tooling to make sure we provide the best customer experience across the board.

Senior Engineering Management at Monzo 

Senior Engineering Managers at Monzo are part of cross-functional, autonomous teams and groups. Our teams are mission driven, and typically include Product Managers, backend, web and mobile engineers as well as data scientists, designers and subject matter experts relevant to that mission. Teams are organised into groups, and then collectives - we aim to keep our line management structure as shallow as possible, and for teams to directly own decision making relevant to their work.

Senior Engineering Managers are accountable for the technical and delivery outcomes for their area - that means supporting and developing best in class engineering talent, as well as creating an inclusive team environment for people to do their best work. You’ll be responsible for structuring, organising, supporting and challenging your team to deliver on their mission.

You can read more on the expectations of Senior Engineering Managers on our Progression Framework.

Is this role right for you?

While this is not a role which requires hands-on-coding, we are looking for an experienced manager who has a strong technical and delivery background and has worked as a software engineer in previous roles.

We recognise that Senior Engineering Managers lead in different ways, we’re looking for someone who: 

• Delivery and Execution: Enjoys taking accountability for delivery across your squad(s), collaborating with the Technical Lead and Product Manager.
• Engineering and Operational Excellence: Actively fosters a high bar for engineering excellence within your teams. You’re accountable for the technical outcomes your teams deliver alongside individual engineer performance and growth, so holding a high bar (and clearly articulating your expectations) is key.
• People Leadership: Has experience directly managing at least 1-2 Engineering Managers for a minimum period of 1 year, and leading orgs of around ~20 engineers. You can support, coach and develop them through their career with regular 1:1s and continuous feedback.
• Technical Influence: Partners with senior engineers to drive technical initiatives that raise the bar for our engineering practices.
• Stakeholder Relationships: Builds strong stakeholder relationships with other teams, and creates a focus space for engineers to do their best work.
• Organisational Wide Impact: Collaborates with the wider engineering organisation to contribute to company-wide best managerial and technical practices and standards.

We consider your application across all open EM roles at Monzo independent of which role you've applied for, soif you've recently applied to a similar role at Monzo and have been unsuccessful, please wait 6 months before applying again.

The interview process:

Our interview process involves three main stages

1. Recruiter Call (30 mins) You'll meet our Engineering Leadership Recruiter to discuss your experience and learn more about Monzo. They'll be your partner and guide throughout the interview process.
   
   
2. Initial Call (1 hour) You'll meet with one of our Senior Engineering Managers or Engineering Directors. They'll ask you about your previous experience, in particular people leadership, product delivery and technical leadership. They’ll ask example based questions (‘Tell me about a time when…’)
   
   
3. Loop Stage (3 hours 30 mins) The Loop stage consists of 3 x 60 min interviews that take place over 1-2 days (depending on your availability) and one 30 minute reverse interview (more details below).

- Team and Org Management (1 hour)
An example based interview with 1-2 of our engineering leaders. They’re interested to hear examples from your previous experience on the teams you’ve led, how you’ve shaped and partnered with product, and the impact you had.

- System Design (1 hour)
You'll partner with a Staff or Principal Engineer on a technical whiteboarding exercise.

- Behavioural (1 hour)
Similar to Team and Org Management, this is an example based interview with 1-2 Engineering Leaders. This interview focuses on your people leadership style and core behaviours as an Engineering Manager.

- Chat with an Engineering Leader (30 mins)
At Monzo, we believe interviews are a two-way street. This will be your opportunity to ask us any questions about Monzo, engineering leadership or our teams – whatever’s on your mind. 

All things going well, you'll have completed the hiring process ????

Our average process takes around 3-4 weeks but we will always work around your availability. You’ll have the chance to speak to our recruitment team throughout the process. If you’d like to ask a question sooner, email tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

What’s in it for you:

????Base salary range for this role is between £130,000 and £160,000 depending on experience + equity + stock options & benefits 

✈️ We can help you relocate to the UK  

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

#LI-EP1 #LI-REMOTE

????London, Cardiff or Remote in the UK | ???? £90-110,000 + Benefits | Hear from the team ✨ 

⭐Our Operations Analytics Engineering Team:

Our Mission in Operations is to deliver an effortless experience for everyone - helping Monzo deliver on its mission of making money work for everyone.

Data is crucial to the success of this mission and Operations Analytics Engineers are at the core of how we build, scale and re-architect our Operations Data Warehouse to enable Monzo to make better decisions, faster, and help serve Monzo’s customers better.

We're looking for a Lead Analytics Engineer within our Operations team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new markets and working with partners internally and externally to ensure we can design and build a first class system to meet our customers’ needs.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 10 million customers in the UK, with over 200,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. 

This is a great opportunity to shape the future direction of how we serve our customers, enabling data to ensure we can provide a world class efficient service for all of Monzos customers, as we lay the foundations to build a best in class analytics function. You’ll work closely within our Operations Collective with product and engineering teams to build out our forecasting and routing systems, while partnering with our core operations team to enable a fast and agile workforce.

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 

????You’ll play a key role by...

• Serving as a data architect for Monzo’s Operations data, contributing to the design and scalability of data models that measure the performance of our Operations product suite.
• Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases.
• Scoping, building and leading through others the re-architecture of entire domains across Operations (including data about our workforce and about demands of our customers)
• Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards.
• Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
• Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance.
• Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Operations and beyond. 
• We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role

????We’d love to hear from you :

• You have a strong passion for data modelling, ETL projects, and Big Data.
• You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
• SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.
• You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.
• You have experience building robust and reliable data sets that require a high level of control.
• You enjoy working with cross functional fast moving teams and are passionate about serving our customers.
• You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers.
• You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture.
• You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business.
• You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables.
• You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Operations and Analytics Engineering.
• Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders.

The interview process:

Our interview process involves 4 main stages: 

• Recruiter call
• Initial call  
• Technical task 
• 3 x 1 hours sessions (final interview)

Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your hiring process, but if you do have any specific questions before this please contact us on tech-hiring@monzo.com Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

???? £90-110k base ➕ plus stock options & benefits 

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

???? Learning budget of £1,000 a year for books, training courses and conferences

➕ And much more, see our full list of benefits here

????London/Cardiff/UK Remote | ???? £70,000-85,000 + Benefits | Hear from the team ✨

⭐Our Business Banking team

Our Mission in Business Banking is to simplify banking for small businesses - this means making business banking fairer, simpler, and more transparent for small businesses. Monzo Business Banking is fast growing and was recently named as the Standout Business Bank by 11:FS. Data is crucial to the success of this mission and Analytics Engineers are the core of how we build and scale our data to Enable Monzo to Make Better Decisions, Faster, and help serve Monzo’s businesses. 

What you’ll be working on: 

The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science. 

You’ll enable our data driven approach, and:

• Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.

• Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.

• Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards.

• Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen.

• Take established best practices and standards defined by the team, applying them within other areas of the business.

• Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.

• Contribute to prioritisation of data governance issues
• We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role

We’d love to hear from you if…

• You enjoy working with cross functional fast moving teams and are passionate about serving small businesses.
• You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers.
• You have a strong passion for data modelling, ETL projects, and Big Data.
• You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
• SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.
• You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.

Nice to haves

• Any experience working within a finance function or knowledge of accounting.

• Experience working in a highly regulated environment (e.g. finance, gaming, food, health care). 

• Knowledge of regulatory reporting and treasury operations in retail banking

• Exposure to Python, Go or similar languages.

• Experience working with orchestration frameworks such as Airflow/Luigi

• Have previously used dbt, dataform or similar tooling.

• Used to AGILE ways of working (Kanban, Scrum)

The Interview Process:

Our interview process involves 3 main stages: 

• 30 minute recruiter call
• 45 minute call with the hiring manager
• Take home task
• 2-part final stage

Our average process takes around 3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

What’s in it for you:

✈️ We can help you relocate to the UK

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NJ1 #LI-REMOTE

????London OR UK Remote | ????£90,000-£120,000 + Benefits | Hear from the team ✨ 

This role is a 6 month FTC 

⭐Our User Research team

We are currently a team of 23 with 18 individual contributors, who are embedded into collectives i.e Core Banking, Business Banking etc, working cross functionally with our Product Design, Product Management and Engineering teams. Our organisation is led by Katherine Vaughan and Hayley Camille Morgan, our Directors of Research.

????You’ll play a key role by...

• Planning and running qualitative studies, including field observations and interviews, diary studies remote and in-person concept testing and usability studies for existing and future products
• Developing and delivering an international payments product strategy, focusing on customer needs, market opportunities, and differentiation.
• Collaborating with key stakeholders (product, leadership, finance, marketing, legal, etc.) to gain alignment and support.
• Partner with Product Managers, Designers, Engineers, and Researchers to plan high-impact research that improves customer understanding and product development.
• Lead squad level research, selecting methods to capture insights that drive growth.
• Work with analytics to integrate qualitative insights with quantitative data and perform basic quantitative analysis.
• Mentoring Product Managers and Designers in running lightweight research.
• Communicate research findings through presentations, reports, and workshops to inform business decisions.
• Identifying actionable insights through quantitative methods such as large scale surveys, and use basic statistical concepts to ensure findings are robust
• Evaluating and explore information architecture, using tree-tests, card-sorts and whatever other methods are appropriate
• Working  with other researchers to connect the dots across multiple teams and product areas

????We’d love to hear from you if…

• You have hands-on experience with exploratory and evaluative quantitative research methods, knowing when to apply them. 
• You've worked in multidisciplinary teams, leading research and making an impact on product direction, especially in payments.
• You're adept at user testing across various settings, whether in a lab, on the street, or remotely. Experience with mobile platforms (iOS and Android) is a plus, as we’re a mobile-only bank.
• You balance robust research design with practical business constraints, understanding "just enough research." 
• You’re strong communicator and facilitator, you tell compelling stories and zoom into details when needed. 
• Collaboration is key to your success, and you're flexible in tackling challenges, delivering memorable and impactful results. You’re also familiar with how research shapes metrics and drives success.

????What’s in it for you

????£90,000-£120,00 (depending on experience)

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) 

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

????£1,000 learning budget each year to use on books, training courses and conferences.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

????The application journey has 3 key steps

1. Call with recruiter (20 mins)
2. Research methods task (1 hour)
3. Teamwork and Impact + Values and Leadership interviews (1.5 hours in total) 

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to nataliehills@monzo.com. You can also use this email address to let us know if there’s anything we can do to make the process easier for you because of disability, neurodiversity or anything else.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

 #LI-NH1

????London OR UK Remote | ????£ 74,000 - £94,000 + Benefits | Hear from the team ✨ 

We’re looking for an exceptional Senior Fincrime Analyst to help lead and support the development of our Money Muling capabilities. You will be a key part of the team delivering improvements to our proprietary Transaction Monitoring controls that detect and prevent Muling across all our products and delivery channels. 

Your technical knowledge will ensure we’re protecting Monzo and our customers from all Financial Crime risks, but also ensures we maintain the exceptional customer experience Monzo is known for.

We need someone who has real experience of developing strategies and implementing controls across the Muling space. This includes expert practical knowledge of Transaction Monitoring (TM) detection systems, and an ability to partner with and influence a wide range of stakeholders across product, data, machine learning and engineering. 

You’ll also have significant experience in helping shape and lead the future of Transaction Monitoring strategy at Monzo. 

⭐Our team

The Transaction Decisioning squad that you’ll be part of works with dedicated financial crime engineers, data scientists and machine learning experts. This enables us to spot, assess and build detective and preventive controls quickly. 

????You’ll play a key role by…

• Leading on defining the Money Muling strategy, and development and implementation projects across a range of products including retail and business banking, as well as borrowing and investments.
• Developing strategic relationships with product/platform owners and stakeholders to provide expert fincrime knowledge and define business and functional requirements.
• Working closely with Product teams across all Monzo products to ensure the appropriate Muling controls are in place to manage Financial Crime risk to support rapid and safe business growth.
• Working closely with data analytics and machine learning stakeholders to continue to develop best-in-class detection and prevention capabilities.
• Maintaining a close relationship with our Fincrime operations teams, ensuring sufficient communication and knowledge sharing on improvements to TM and Muling capabilities including user interface and customer experience. 
• Helping to define and interpret key measures and metrics on the performance of Money Muling systems/processes and aiding in the preparation of reporting to relevant oversight committees and senior stakeholders across the business.
• Proactively identifying and sharing emerging threats/trends, working across all Fincrime teams.

????We’d love to hear from you if…

• You have significant experience working in Money Muling and a broad awareness of other systems used to detect and prevent all types of Fincrime.
• You’ve led, or provided significant support for, the implementation of improvements to TM systems in similar organisations.
• You have demonstrable experience of thinking strategically whilst also knowing when a tactical approach is required. 
• You have experience of working closely with product, data and engineering teams to define build requirements, and support from a fincrime risk perspective. 
• You are passionate about Fincrime, Monzo and putting customers first and working in a fast-paced, high-volume environment and thrive when there’s ambiguity. 
• You're great at explaining processes and complex technical requirements to people.
• You’re well organised and can work under pressure to tight deadlines.
• You have a track record of demonstrating your strong decision making skills and ability to work to multiple deadlines simultaneously.
• You’re excited by what we’re doing in Monzo!

????What’s in it for you

????£74,000 - £94,000 ➕share options.

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

????£1,000 learning budget each year to use on books, training courses and conferences.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

????The application journey has 3 key steps

• Quick call with a Monzo Recruiter
• Video-call with the Hiring Manager
• Interview Loop: 2 x video-interviews

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to business-hiring@monzo.com. You can also use this email address to let us know if there’s anything we can do to make the process easier for you because of disability, neurodiversity or anything else.

⏳We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

#LI-REMOTE

#CM-1

????Cardiff, London, or Remote UK  | Salary £140-£175,000 + stocks + benefits | Hear from the team ✨ 

About our Machine Learning Team:

At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. 

Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling.

What you’ll be working on:

As a Senior Lead ML Scientist, you’ll be the one of the most senior Individual Contributor (IC) Machine Learning Scientist! This will give you a real opportunity to lead us into an exciting new phase of fraud and financial crime prevention, utilising billions of rows of data and the learnings from your previous successes in designing and building advanced Machine Learning based systems for topics like personalisation, demand forecasting, workforce management, detection systems.

We’re talking about Deep Learning, Graph neural networks, transformers – you’ll have space to design the architecture that will help us take our real time systems to the next level.

Your day-to-day

As our most senior technical IC, you’ll be providing key technical leadership and shipping highly impactful ML-based solutions. You’ll be empowered to work across the collective identifying the most impactful areas and leading solution development.

You’ll work with our mission-oriented cross functional product squads, collaborating closely with product managers, data scientists, backend engineers and designers in an agile environment.

You’ll be expected to use your technical expertise to advise senior business stakeholders and help to set and advance our strategic direction across multiple squads.

You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards.

This will involve:

• Working with stakeholders across the organisation to identify and scope out the most impactful opportunities to tackle product challenges with Machine Learning.
• Bringing the learnings from your previous successes in designing and building advanced Machine Learning systems to lead advancements in our product development capabilities, for example utilising deep learning, graph-based, and sequence-based architectures.
• Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
• Working closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

You should apply if:

What we’re doing here at Monzo excites you!

• You have a multiple year track record of excellence leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems, preferably in a fast moving tech company
• You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
• You have experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across the team.
• You have a self-starter mindset; you proactively identify the most impactful issues and opportunities and tackle them without being told to do so
• Using advanced machine learning techniques to minimise financial crime and protect customers from fraud sounds exciting to you
• You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices
• you’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity
• you want to be involved in building a product that you (and the people you know) use every day
• you have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
• You’re adaptable, curious and enjoy learning new technologies and ideas

The interview process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call
• 45 minute call with hiring manager
• 4 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

What’s in it for you:

✈️ We can help you relocate to the UK

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-REMOTE #LI-NJ1

????London | UK remote | Benefits | Hear from the team

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Data Science Team:

We're looking for a Senior Data Science Manager within our Operations team to help build world class service for the bank of the future. As a key leader, you will take ownership of all data-related aspects of our end-to-end view of supply and demand within Operations. You will play a critical role in shaping and supporting how we think about forecasting, real-time routing strategy, and our workforce management. Additionally, you will oversee our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale our workforce into new markets and working with partners internally and externally to ensure we can design and build a first class system to meet our customers’ needs.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 10 million customers in the UK, with over 200,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. 

This is a great opportunity to shape the future direction of how we serve our customers, enabling data to ensure we can provide a world class efficient service for all of Monzos customers, as we lay the foundations to build a best in class analytics function. You’ll work closely within our Operations Collective with product and engineering teams to build out our forecasting and routing systems, while partnering with our core operations team to enable a fast and agile workforce.

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 

As part of this role you’ll:

• Lead our forecasting approach to understand customer problems and how this scales with customer growth and product adoption
• Lead our real-time routing approaches, weighing off complexity and impact to understand how we react to demand with our workforce
• Responsibility of the improvement and maintenance of our forecasting accuracy metrics, routing metrics, and operations performance metrics
• Building our analytics roadmap, thinking short term and long term in partnership with a cross functional team inclusive of machine learning engineers, analytics engineers, data analysts and data scientists
• Build close relationships with the senior Operations leadership, informing and aligning on strategy whilst also promoting visibility of the performance of our predictive models
• Lead your team to democratise data across Operations, specifically training and upskilling Operations managers and enable self-serve data products
• Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling operations problems
• Have the opportunity to manage exceptional Data Scientists and help their career progression and development

You should apply if:

• You have multiple years of experience in Operations data, with 3 or more years working in Senior or Lead positions within Data Science or Analytics - (bonus if you have a background in operations research or experience in queuing theory)
• You consider yourself an empathetic leader and have experience managing data scientists and you really enjoy that part of the job
• You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities
• You have both technical and non-technical experience working together and collaborating with senior business partners and product teams
• You are able to communicate complex information in a clear and relatable way.
• You're familiar with using a variety of Data Science tools (from business intelligence, advanced forecasting, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same
• You have experience working on a product analytics role and have conducted large scale A/B experiments
• You’ve worked closely with machine learning teams and have a good understanding of how machine learning can be applied to Operations

The Interview Process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute call with hiring manager 
• 3 x 1-hour video calls with various team members

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

What’s in it for you:

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NB2  #LI-Remote