📍Cardiff, London or Remote (UK)  | 💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Financial Health Team:

We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty. 

As a Senior Data Analyst, you’ll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We’re looking for an experienced Senior Data Analyst with hands-on experience who can bring fresh thinking and new ways to inspire the team and our customers.

What you’ll be working on:

As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.

At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly. 

Our mission is to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. Our Borrowing business is growing rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. 

Your day-to-day:

• Generate insights that can drive the direction of our Financial Health strategy through proactive analysis
• Bring data-driven rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
• Work and advise on Financial Health’s global expansion strategy
• Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health
• Ensure accurate reporting to third parties and regulators
• Build and maintain controls to ensure our business processes are running as intended 
• Lead projects to improve the accuracy, efficiency and accessibility of our data

Locations & flexible working:

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable.

We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.

Work the way that works for you at Monzo! 💼

Our technology stack:

Our Data team's mission is to Enable Monzo to Make Better Decisions, Faster

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. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. 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.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science
• Go to write our application code
• AWS for most of our backend infrastructure

You should apply if:

• What we’re doing here at Monzo excites you!
• You are passionate about using data to improve and inform business decisions
• You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions
• You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same
• You have a solid grounding in SQL 
• Experience in Financial Health is a plus, but not required.

We're on the look out for L40 Senior Data Analysts at the moment, you can read more in our Data Progression Framework

The interview process:

Our interview process involves 4 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute initial call 
• Take home task
• 2 x 1-hour video calls, including a technical case study

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

What’s in it for you:

💰 £76,000 to £95,000 + Incentive Awards tied to your performance + 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-LG1  #LI-Remote

📍Cardiff, London or Remote (UK)  | 💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Financial Health Team:

We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty. 

As a Senior Data Analyst, you’ll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We’re looking for an experienced Senior Data Analyst with hands-on experience who can bring fresh thinking and new ways to inspire the team and our customers.

What you’ll be working on:

As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.

At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly. 

Our mission is to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. Our Borrowing business is growing rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. 

Your day-to-day:

• Generate insights that can drive the direction of our Financial Health strategy through proactive analysis
• Bring data-driven rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
• Work and advise on Financial Health’s global expansion strategy
• Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health
• Ensure accurate reporting to third parties and regulators
• Build and maintain controls to ensure our business processes are running as intended 
• Lead projects to improve the accuracy, efficiency and accessibility of our data

Locations & flexible working 

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable.

We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.

Work the way that works for you at Monzo! 💼

Our technology stack:

Our Data team's mission is to Enable Monzo to Make Better Decisions, Faster

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. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. 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.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science
• Go to write our application code
• AWS for most of our backend infrastructure

You should apply if:

• What we’re doing here at Monzo excites you!
• You are passionate about using data to improve and inform business decisions
• You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions
• You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same
• You have a solid grounding in SQL 
• Experience in Financial Health is a plus, but not required.

We're on the look out for L40 Senior Data Analysts at the moment, you can read more in our Data Progression Framework

The Interview Process:

Our interview process involves 4 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute initial call 
• Take home task
• 2 x 1-hour video calls, including a technical case study

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

What’s in it for you:

💰 £76,000 to £95,000 + Incentive Awards tied to your performance + 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-LG1  #LI-Remote

📍 Barcelona, Spain | 💰€93,500 - €126,500 + Benefits | Hear from the team ✨

⭐Our Borrowing team

Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. 

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

⭐ Our Analytics Engineering team

Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Money, Borrowing, Operations and Financial Crime and beyond. 

The AE teams are 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 a reliable and scalable Data Warehouse to support decision making in a cost effective and performant manner. 

Managers within Data have two primary responsibilities; people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times and celebrating their successes. You will also be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail.

There will be a strong focus on delivering best practice across all of our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this.

🔑 You’ll play a key role by...

Working in a multi-disciplinary team, you will:

• Be a hands on leader in building a discipline of exceptional analytics working to make Data at Monzo the gold standard within the industry.
• Nurture between 6  and 7 engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others.
• Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives.
• Be hands on through participating in the review cycle, architecture and design leadership and development of your own changes to the pipelines
• Be part of the hiring team within Analytics Engineering
• Work closely with other leads to deliver a scalable, consistent approach to governance and best practices.
• Drive effective project management of central Analytics Engineering projects, ensuring they’re well scoped and delivered to deadlines.
• Establish yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, be it either hands-on or by leading others.
• 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 have experience managing or mentoring the performance and development of high-performing engineers.

• You have strong experience in data warehousing architecture at scale
• You have experience and a passion for leading data warehousing, data visualisation, big data or ETL projects as an analyst, developer, designer or architect.
• You know what it takes to hire great engineers within the data space.
• You’re equally comfortable working hands on and leading a team.

Nice To Haves:

• Any experience working within a finance or banking environment
• Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care).
• Experience with any of our stack of dbt, BigQuery and Looker

Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you!

🙌 What’s in it for you

💰Base salary range for this role is dependent on experience + benefits 

📍Barcelona, Spain

⏰ 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

Recruiter Screening Call

Initial Call

Final Loop (3 sessions - case study, collaboration and people leadership)

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.

For more insight into the AE team at Monzo, check out our podcast with John Azzopardi one of our Senior Leaders in AE 

#LI-AS #LI-Remote

📍London  | 💰 £78,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

Our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team (CIF) sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk.

Within CIF, we are scaling up our Forecasting modelling and execution team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of forecasting and stress testing models across both well established and emerging products.  Additionally the successful individual will have a key role in executing these models across high profile budgeting & stress-test exercises and building up our toolkit to quantify the impact of various strategic decisions for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling.  Prior experience developing credit risk forecasting models is desirable, but relevant model development / validation experience in IRB modelling, IFRS9 or scorecard models will also be considered. Experience as a ‘model user’ of forecasting models in the context of budgeting or stress-testing would be helpful but is not required.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, model implementation and data visualisation (via streamlit)
• Github for version control

Your day-to-day responsibilities:   

• Assist with continuous improvement of forecasting models via new developments or recalibrations.
• Construction of grounded overlays, where required, to quantify effects of future strategy changes or address known model limitations
• Furthering the development and execution of forecast model monitoring to inform an effective prioritisation of model improvements
• Presenting forecast model results to senior management
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

You should apply if:

• You have a background in forecast modelling or execution
• You have relevant experience in the development and implementation of credit models (e.g IFRS9 / Forecasting / IRB)
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and Python are our desired coding languages but experience in SAS/R will be considered. A data visualisation tool (such as Streamlit or Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• 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

The Interview Process:

Our interview process involves 4 main stages: 

1. Initial call with a member of the Forecasting team
2. Technical modelling interview 
3. Values and collaboration behavioural interview
4. A live case study problem solving interview

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

What’s in it for you:

💰 £78,000 to £95,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✈️ We can help you relocate to the UK

✅ We can sponsor visas

⏰ 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-LG1  #LI-Remote

 📍London  | 💰 £58,000 to £78,000 +  Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk.

We are scaling up our Impairments modelling team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of IFRS 9 models (PD, LGD, EAD, macroeconomic models) across both well established and emerging products.  Additionally the successful individual will have oversight of model performance, construction of PMAs/model overlays where required, model implementation, and impairment analytics for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling and IFRS 9 provision methodology.  Prior experience developing IFRS 9 models is desirable, but model development experience in IRB modelling, stress testing or scorecard models will also be considered.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, and model implementation

Your day-to-day responsibilities:   

• Assist with end-to-end development and maintenance of IFRS 9 models (PD, EAD, LGD)
• Construction of post-model adjustments / model overlays as and when required
• Implementation of new models 
• Development and maintenance of economic-response models for scenario simulation and impairment 
• Enhancement of model monitoring and month-end ECL reporting and analytics
• Presenting modelling results to 1LOD and 2LOD risk forums/committees 
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

How we work:

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable.

We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.

Work the way that works for you at Monzo! 💼

You should apply if:

• You have a background in IFRS 9 impairments
• You have end to end experience in the development and implementation of credit models (e.g PD, LGD, EAD). 
• You have experience in monitoring ECLs and conducting driver analyses 
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and either Python or R is a must-have, a data visualisation tool (such as Tableau, PowerBI, Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• 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

The Interview Process:

Our interview process involves 4 main stages: 

1. Initial call with a member of the impairments team
2. Technical IFRS 9 interview 
3. Values and collaboration behavioural interview
4. A live case study problem solving interview

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

What’s in it for you:

💰 £58,000 to £78,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✅ We can sponsor visas

⏰ 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 | UK remote | 💰 £100,000 to £160,000 (dependent on level) + Benefits | Hear from the team

About us:

At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Our products are different by design: through magically simple products and actionable insights, we put our customers in control of their finance.

Our range of borrowing products serve the important needs of our customers and are critical to Monzo’s mission. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective credit risk and machine learning expertise. Our product portfolios are still expanding fast, from personal to business credit, and to markets beyond the UK. We are looking for bright, passionate and creative individuals to further accelerate our growth.

About the role:

The mission of Borrowing Machine Learning Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing.

You will be taking a hands-on technical leadership role, managing a small team of Senior ML Scientists. With in-depth knowledge and experience in the credit industry, you’ll drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products. You’ll have a close relationship with leaders across Credit Strategy, Products, Model Validation and Engineers, with whom you will drive and influence strategic decisions and product roadmaps. You’ll also have the opportunities to work with external data suppliers and industry peers, to push the innovation frontiers for the credit industry.

With excellent technical skills, you’ll also spearhead the continuous development of our toolings, methodologies, and processes, to empower the team to build better models easier and faster. You’ll serve as the champion for the quality and efficiency of model development, and ensure safe and scalable growth of our model portfolio. You’ll also have plenty opportunities to work with other modelling teams across Monzo, to collaborate on the best practices and latest technologies.

Our technology stack

We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics usages
  • BigQuery SQL and dbt for our data modelling and warehousing
  • PyData stack for model development and offline deployment
  • Google AI platform for cloud computing
• AWS for backend infrastructure
  • Python for ML model microservices
  • Go lang for most other microservices
• AI toolings for productivity (an evolving list)
  • Google suites including access to Gemini
  • ChatGPT enterprise
  • Claude code

You should apply if:

• You are result oriented and motivated by the impact on our customers and business
• You thrive in a fast-paced environment and comfortable with frequent context switching
• You enjoy both the strategic thinking and influence, as well as hands-on solving technical problems
• You want to build trust and influence a diverse range of leaders and stakeholders
• You like inspiring people around you, with innovative thinking and high standard execution

You must have:

• Excellent technical skills in Python, SQL, and statistics
• Extensive knowledge of the credit industry, including the products, data, typical ML applications, and related regulations
• Hands-on experience across the lifecycle of credit risk models, including project scoping, data curation, model optimisation, performance analysis, deployment, monitoring, and diagnosis
• Successful track record of managing complex projects, with cross-functional teams and senior stakeholders
• Experience of mentoring and coaching senior ICs
• Previous experience of managing data and model governance in a regulated business

The Interview Process

• 30’ Recruiter Call
• 45’ Initial Call
• 60’ ML technical skill interview
• 60’ People Leadership interview
• 60’ Product ML interview
• 60’ Project deep dive

All interviews will be conducted through Google Meet.

What’s in it for you:

💰 £100,000 to £160,000 ➕  & benefits

✈️ We can help you relocate to the UK

✅ We can sponsor visas

📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travel to London.

🏡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.

⏰ 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 | 💰 £86,000-105,000 + Incentive Awards tied to your performance + benefits | Hear from the team ✨ 

About us:

At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core.

Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth.

About the role

The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing.

You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster.

You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models.

Our technology stack

We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics usages
  • BigQuery SQL and dbt for our data modelling and warehousing
  • PyData stack for model development and offline deployment
  • Google Vertex AI platform for cloud computing
• AWS for backend infrastructure
  • Python for ML model microservices
  • Go lang for most other microservices
• AI toolings for productivity (an evolving list)
  • Google suites including access to Gemini
  • ChatGPT enterprise
  • Claude code

🤩 You should apply if:

• You are result oriented and motivated by the impact on our customers and business
• You enjoy a high degree of autonomy and thrive in a fast-paced environment
• You are keen to grow your knowledge in both business and technology

📌 You must have:

• Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering
• In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc
• Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap
• Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry
• Great attention to details while keeping an eye on the big picture
• Excellent communication skills to articulate complex problems
• Capability to build mutual respect and trust with people of different background

Nice to have:

• Experience in UK/EU retail lending businesses for personal/business customers
• Experience of ML model governance in a regulated industry
• Experience in leverage modern day AI tools for productivity

The Interview Process:

Our interview process involves:

• 30’ Recruiter Call
• 45’ Initial Call
• 60’ ML technical skill interview
• 60’ Behavioural interview

All interviews will be conducted through Google Meet.

What’s in it for you:

💰 £86,000 to £105,000 ➕ plus stock options & benefits

✈️ We can help you relocate to the UK

✅ We can sponsor visas

📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London.

🏡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.

⏰ 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-DC2  #LI-Remote

 📍London  | 💰 £58,000 to £78,000 +  Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk.

We are scaling up our Impairments modelling team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of IFRS 9 models (PD, LGD, EAD, macroeconomic models) across both well established and emerging products.  Additionally the successful individual will have oversight of model performance, construction of PMAs/model overlays where required, model implementation, and impairment analytics for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling and IFRS 9 provision methodology.  Prior experience developing IFRS 9 models is desirable, but model development experience in IRB modelling, stress testing or scorecard models will also be considered.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, and model implementation

Your day-to-day responsibilities:   

• Assist with end-to-end development and maintenance of IFRS 9 models (PD, EAD, LGD)
• Construction of post-model adjustments / model overlays as and when required
• Implementation of new models 
• Development and maintenance of economic-response models for scenario simulation and impairment 
• Enhancement of model monitoring and month-end ECL reporting and analytics
• Presenting modelling results to 1LOD and 2LOD risk forums/committees 
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

How we work:

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable.

We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.

Work the way that works for you at Monzo! 💼

You should apply if:

• You have a background in IFRS 9 impairments
• You have end to end experience in the development and implementation of credit models (e.g PD, LGD, EAD). 
• You have experience in monitoring ECLs and conducting driver analyses 
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and either Python or R is a must-have, a data visualisation tool (such as Tableau, PowerBI, Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• 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

The Interview Process:

Our interview process involves 4 main stages: 

1. Initial call with a member of the impairments team
2. Technical IFRS 9 interview 
3. Values and collaboration behavioural interview
4. A live case study problem solving interview

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

What’s in it for you:

💰 £58,000 to £78,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✅ We can sponsor visas

⏰ 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  | 💰 £78,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

Our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team (CIF) sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk.

Within CIF, we are scaling up our Forecasting modelling and execution team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of forecasting and stress testing models across both well established and emerging products.  Additionally the successful individual will have a key role in executing these models across high profile budgeting & stress-test exercises and building up our toolkit to quantify the impact of various strategic decisions for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling.  Prior experience developing credit risk forecasting models is desirable, but relevant model development / validation experience in IRB modelling, IFRS9 or scorecard models will also be considered. Experience as a ‘model user’ of forecasting models in the context of budgeting or stress-testing would be helpful but is not required.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, model implementation and data visualisation (via streamlit)
• Github for version control

Your day-to-day responsibilities:   

• Assist with continuous improvement of forecasting models via new developments or recalibrations.
• Construction of grounded overlays, where required, to quantify effects of future strategy changes or address known model limitations
• Furthering the development and execution of forecast model monitoring to inform an effective prioritisation of model improvements
• Presenting forecast model results to senior management
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

You should apply if:

• You have a background in forecast modelling or execution
• You have relevant experience in the development and implementation of credit models (e.g IFRS9 / Forecasting / IRB)
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and Python are our desired coding languages but experience in SAS/R will be considered. A data visualisation tool (such as Streamlit or Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• 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

The Interview Process:

Our interview process involves 4 main stages: 

1. Initial call with a member of the Forecasting team
2. Technical modelling interview 
3. Values and collaboration behavioural interview
4. A live case study problem solving interview

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

What’s in it for you:

💰 £78,000 to £95,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✈️ We can help you relocate to the UK

✅ We can sponsor visas

⏰ 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-LG1  #LI-Remote