📍Madrid or Barcelona, Spain  | 💰 €77,000 - €94,000 + Incentive Awards tied to your performance ➕ benefits

⭐ About the team:

Our Borrowing (lending) business is growing rapidly across both existing products and the planned launch of new initiatives. 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.

We’re looking for a Credit Risk Manager to help drive the credit and growth strategy for our consumer lending products as we grow our business in Spain. You will lead a team of analysts responsible for developing the credit and pricing strategies as we bring our products to market across the EU.

Our credit teams are part of our Data Discipline which drives a strong culture of data-driven decision making across the whole company. 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 analysts the head space to focus on more impactful business questions and analyses.

Join a team where your ideas can rapidly transform into reality, leveraging our cutting-edge technology and agile ways of working. Our credit analysts and managers are fully embedded into a product squad alongside Product Managers, Engineers, Designers, Marketers, Customer Researchers, Data Scientists etc. This enables us to solve customer problems in a fast paced and innovative way.

🔑You'll play a key role:

• Lead a team of analysts that will develop credit and pricing strategies for our Borrowing products and distribution channels
• Work closely with Borrowing squad leadership to develop and execute an ambitious growth strategy 
• Collaborate with people from engineering, marketing, product, risk and control to design and deliver new products and customer journeys
• Lead the development and maintenance of the NPV models and affordability strategies that underpin the Borrowing underwriting decisions
• Monthly monitoring and reporting on Borrowing performance to stakeholders up to executive level
• Build, maintain and own the database tables and dashboards that provide insights and promote rapid, data-driven decisions.
• Collaborate with the Decision Science team to maximise value from our internal and external data through cutting-edge ML models
• Promote a culture of proactive, high quality analysis and ensure we have the right credit capabilities, infrastructure and talent in place to scale safely

🤩 You should apply if:

• What we’re doing here at Monzo excites you!
• You have extensive experience in unsecured lending in Spain
• You have a deep understanding of lending economics and have experience developing and deploying underwriting strategies and credit models.
• You have strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus.
• You have experience with the development and maintenance of NPV models
• You have a strong understanding of the regulations that apply to lending in Spain.
• You have track record leading and developing analytical teams
• You thrive in a fast-paced environment and are keen for the chance to improve our products and help ship changes to our customers
• You are a strong communicator, able to cut through complex problems and articulate decision points, particularly to senior leadership.
• You have experience in project management and coordination across teams.
• You work well collaborating in a team with diverse skill-sets and personality types.
• You are highly motivated and energised by the idea of bringing a positive impact to our customers and Monzo.

We're on the look out for L60 Credit Risk Managers at the moment, you can read more in our Data Progression Framework

🙌What’s in it for you

💰A base salary of €77,000 - €94,000 + Incentive Awards tied to your performance

📍This role will have a hybrid working model, based in our Barcelona or Madrid office 2 - 3 days a week.

⏰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. 

🏝 Annual Leave - 38 days including public holidays

📚€1,200 learning budget each year to use on books, training courses and conferences.

🏥Private healthcare scheme

💛Wellbeing benefits: financial education, women’s and men’s health support, mental health benefits, including coaching and counselling

🌈 The application journey has 3 key steps

• Recruiter call 
• Initial call with the hiring manager 
• Final loop of interviews (x3)

This process should take around 3-4 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.

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're successful in applying for this role, we'll work with you to find a start date. In some cases, there might be a delay in when you can be released from your current role so that we can make sure things continue to run smoothly. We’ll be sure to communicate this with you and keep you updated.

#LI-MOS1

📍Madrid / Barcelona, Spain | 💰€94,000-€114,300, ➕ Incentive Awards tied to your performance + benefits  | Hear from the team ✨ 

⭐ About the role

Our ambition doesn’t stop at the UK border though. It’s global. We believe every part of the world needs a Monzo so we’re focused on expanding our offering, building strategies to disrupt the European market with a first-class leadership team in place. As part of this, we’re looking for a Head of Financial Health to ensure the compliant delivery of FinHealth journeys and capabilities across all lending products in the EU, working closely with the existing UK team. 

You will report directly to the Head of Borrowing, EU and work closely with the Director of Financial Health, UK. You will lead the Financial Health initiatives in the EU. You will act as the FinHealth lead in Europe, collaborating with the UK FinHealth team to deliver the policies, strategies, and analytics  used to support customers in financial difficulties with Monzo. You will partner with operations, tech and credit risk leadership to deliver on a robust financial health strategy, balancing good customer outcomes whilst mitigating credit loss. This includes the whole arrears lifecycle, including pre-arrears, collections and recoveries, and across our lending products in the EU.

🔑 You’ll play a key role by...

• Working with the broader FinHealth team to ensure the effective delivery and localisation of FinHealth capabilities for European markets, aligning with local regulatory requirements and customer needs
• Acting as the primary FinHealth lead in Europe by navigating the complex regulatory landscape of the European Union, ensuring our practices  remain within risk appetites and comply with regional regulations
• Owning Collections and Recoveries outcomes, balancing good customer outcomes with strong portfolio performance
• Supporting our product and tech squads in shaping in-app journeys and features that support customers facing financial difficulties, ensuring alignment with broader Monzo strategies
• Working with Operations to implement collections processes consistent with prescribed strategy
• Working with  a team of data analysts to extract insights into customer behavior and financial performance, optimizing our financial health strategies

🤩 We’d love to hear from you if…

• You have direct experience leading collections & recoveries strategies or products for a regulated lender in a European context
• Strong understanding of the critical role collections & recoveries play within the credit risk strategy of a lending business
• Deep knowledge of European consumer credit regulations and how they differ across member states
• Adaptability and ability to thrive in a fast-moving, dynamic company environment
• Proficiency in key European languages, particularly Spanish, preferred

🙌 What’s in it for you

💰 A salary range of €94,000-€114,300 ➕ Incentive Awards tied to your performance.

📍Madrid or Barcelona - hybrid. You may also be required to travel to some of our other locations/offices, such as Dublin.

⏰ 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. 

🏝 Annual Leave - 38 days including public holidays

📚€1,200 learning budget each year to use on books, training courses and conferences.

🏥Private healthcare scheme

💛Wellbeing benefits: financial education, women’s and men’s health support, mental health benefits, including coaching and counselling

🌈 The application journey has 4 key steps

• Initial call with a Monzo recruiter
• Video Call with the Hiring Manager
• Interview Loop: 2-3 interviews

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

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're successful in applying for this role, we'll work with you to find a start date. In some cases, there might be a delay in when you can be released from your current role so that we can make sure things continue to run smoothly. We’ll be sure to communicate this with you and keep you updated.

#LI-MOS1

📍Dublin, Ireland  | 💰 €108,000 - €132,000 + Incentive Awards tied to your performance ➕ benefits

⭐ About the team:

Our Borrowing (lending) business is growing rapidly across both existing products and the planned launch of new initiatives. 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.

We’re looking for a Credit Risk Manager to help drive the credit and growth strategy for our consumer lending products as we grow our business in Ireland. You will lead a team of analysts responsible for developing the credit and pricing strategies as we bring our products to market across the EU.

Our credit teams are part of our Data Discipline which drives a strong culture of data-driven decision making across the whole company. 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 analysts the head space to focus on more impactful business questions and analyses.

Join a team where your ideas can rapidly transform into reality, leveraging our cutting-edge technology and agile ways of working. Our credit analysts and managers are fully embedded into a product squad alongside Product Managers, Engineers, Designers, Marketers, Customer Researchers, Data Scientists etc. This enables us to solve customer problems in a fast paced and innovative way.

🔑You'll play a key role:

• Lead a team of analysts that will develop credit and pricing strategies for our Borrowing products and distribution channels
• Work closely with Borrowing squad leadership to develop and execute an ambitious growth strategy 
• Collaborate with people from engineering, marketing, product, risk and control to design and deliver new products and customer journeys
• Lead the development and maintenance of the NPV models and affordability strategies that underpin the Borrowing underwriting decisions
• Monthly monitoring and reporting on Borrowing performance to stakeholders up to executive level
• Build, maintain and own the database tables and dashboards that provide insights and promote rapid, data-driven decisions.
• Collaborate with the Decision Science team to maximise value from our internal and external data through cutting-edge ML models
• Promote a culture of proactive, high quality analysis and ensure we have the right credit capabilities, infrastructure and talent in place to scale safely

🤩 You should apply if:

• What we’re doing here at Monzo excites you!
• You have extensive experience in unsecured lending in Ireland
• You have a deep understanding of lending economics and have experience developing and deploying underwriting strategies and credit models.
• You have strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus.
• You have experience with the development and maintenance of NPV models
• You have a strong understanding of the regulations that apply to lending in Ireland.
• You have track record leading and developing analytical teams
• You thrive in a fast-paced environment and are keen for the chance to improve our products and help ship changes to our customers
• You are a strong communicator, able to cut through complex problems and articulate decision points, particularly to senior leadership.
• You have experience in project management and coordination across teams.
• You work well collaborating in a team with diverse skill-sets and personality types.
• You are highly motivated and energised by the idea of bringing a positive impact to our customers and Monzo.

We're on the look out for L60 Credit Risk Managers at the moment, you can read more in our Data Progression Framework

🙌What’s in it for you

💰€108,000 - €132,000 + Incentive Awards tied to your performance

📍This role will have a hybrid working model, based in our Dublin office 2 - 3 days a week.

⏰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. 

🏝 Annual Leave - 34 days including public holidays (24 holiday days + 10 public holidays)

📚€1,200 learning budget each year to use on books, training courses and conferences.

🏥Private healthcare scheme

💰Pension scheme: the minimum contribution is 4% and Monzo matches any additional contributions that you make up to a maximum of 6%

💛Wellbeing benefits: financial education, women’s and men’s health support, mental health benefits, including coaching and counselling

🌈 The application journey has 3 key steps

• Recruiter call 
• Initial call with the hiring manager 
• Final loop of interviews (x3)

This process should take around 3-4 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.

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're successful in applying for this role, we'll work with you to find a start date. In some cases, there might be a delay in when you can be released from your current role so that we can make sure things continue to run smoothly. We’ll be sure to communicate this with you and keep you updated.

#LI-MOS1

📍Cardiff, London or Remote (UK)  | 💰 £76,500 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

Our team

Our Borrowing business is growing rapidly across both existing products and the planned launch of new initiatives. Flex is an innovative credit card that gives our customers unprecedented visibility and control over their spending, offering features like flexible instalment plans and instant app management. If you are passionate about using data and agile technology to solve real-world financial problems and create a genuine feel-good factor around borrowing, this is your chance to contribute to a product that is defining the future of flexible finance.

This is a high-impact, cross-functional environment where you’ll partner closely with Product, Engineering, Data Science, Finance, and Risk & Control to deliver sustainable, profitable, and responsible growth across our credit card offerings.

You’ll operate at the intersection of credit risk, commercial performance, and customer experience, ensuring Monzo’s credit card products remain sustainable, competitive, and customer-focused as they scale.

Your day-to-day

As a Senior Credit Analyst, you’ll play a critical role in shaping Monzo’s credit strategy across credit card products. Your responsibilities will include:

• Design and refine credit underwriting and limit strategies to optimise risk and growth
• Analyse portfolio performance (arrears, utilisation, revenue, losses, vintage curves) and identify actionable insights
• Build and interpret NPV and profitability models to inform strategic decisions
• Develop segmentation frameworks to identify revenue and risk pressure points
• Lead analytical deep-dives into portfolio trends and emerging risks
• Partner with Product and Engineering teams to design and test new features and strategy changes
• Evaluate the commercial and customer impact of pricing, eligibility, and limit decisions
• Present clear, structured recommendations to senior stakeholders
• Support regulatory and governance requirements, ensuring strategies align with policy and risk appetite

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! 💼

You should apply if

You have:

• Experience in unsecured lending, ideally within credit cards
• A strong understanding of credit card economics (APR, utilisation, interchange, revolving behaviour, cost of funds, losses). Experience of modelling rewards cards is a plus.
• Experience building or influencing credit strategies (e.g. underwriting, limit management, pricing)
• Strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus
• Experience working with NPV models, profitability analysis, and portfolio forecasting
• Confidence communicating complex analysis clearly to non-technical stakeholders
• Experience collaborating cross-functionally in a fast-paced environment
• An interest in balancing risk, growth, and customer outcomes

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

What’s in it for you

💰£76,500 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

Interview process

Our typical process is structured as:

1. Recruiter call
2. Initial hiring manager call
3. Take-home task
4. Final interviews - (3x) including case study, role-specific, and behavioural interviews

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

#LI-LG1  #LI-Remote

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

Our team:

Our Borrowing collective is growing across Personal Loans and Financial Health. We’re building innovative, responsible lending products that give customers greater transparency, flexibility, and control over their money.

Personal Loans provides simple, transparent borrowing, while Financial Health focuses on sustainable growth and better customer outcomes.

As part of the team, you’ll develop and optimise unsecured credit risk and pricing strategies, partnering closely with Product, Engineering, and Data to build profitable portfolios and outstanding customer experiences.

If you’re excited by data-led decision-making, experimentation, and shaping the future of modern lending, we’d love to hear from you.

Your day-to-day:

• Working on initiatives to improve our credit underwriting, boost growth and/or manage portfolio risk
• Supporting the design and roll-out of new lending strategies by finding patterns in the data and translating these into insights
• Monitoring the performance of our existing strategies, and iterating to improve them
• Working alongside people from engineering, marketing, product, risk and control to design and deliver product changes
• Developing, maintaining and monitoring our credit models to assess net present value of new lending cohorts to drive strategic business decisions
• Building and maintaining the database tables and dashboards that provide insights and promote rapid, data-driven decisions
• Supporting the design and roll-out of new products and customer journeys
• Assessing how the lending portfolio of particular products will perform over time

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 experience in unsecured retail lending (e.g. personal loans, credit cards, overdrafts, buy now pay later etc.)
• You have an understanding of how the unsecured retail lending market works including the impact of pricing dynamics on portfolio performance
• You have an understanding of lending economics and have experience developing and deploying underwriting strategies
• You have strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus.
• You have a working understanding of the regulations that apply to lending in the UK.
• You thrive in a fast-paced environment and are keen for the chance to improve our products and help ship changes to our customers
• You are a strong communicator, able to cut through complex problems and articulate decision points
• You have some experience in project management and coordination across teams
• You work well collaborating in a team with diverse skill-sets and personality types
• You are highly motivated and energised by the idea of bringing positive impact to our customers and Monzo

We're on the look out for Credit Analysts (L30) at the moment, you can read more in our Data Progression Framework

The interview process:

Our interview process involves 4 main stages:

1. Recruiter call
2. Initial call
3. Take home task
4. Final stage (x3 interviews) consisting of a case study, role specific interview and collaboration 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 

✅ 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

📍Dublin, Ireland | 💰€108,800-€132,480 + benefits  | Hear from the team ✨ 

⭐ About the role

Our ambition doesn’t stop at the UK border. It’s global. We believe every part of the world needs a Monzo so we’re focused on expanding our offering, building strategies to disrupt the European market with a first-class leadership team in place. As part of this, we’re looking for a Head of Financial Health to ensure the compliant delivery of FinHealth journeys and capabilities, working closely with the existing UK team. 

You will report directly to the Head of Borrowing, EU and work closely with the Director of Financial Health, UK. You will lead the Financial Health initiatives in the EU. You will act as the FinHealth lead in Europe, collaborating with the UK FinHealth team to deliver the policies, strategies, and analytics  used to support customers in financial difficulties with Monzo. You will partner with operations, tech and credit risk leadership to deliver on a robust financial health strategy, balancing good customer outcomes whilst mitigating credit loss. This includes the whole arrears lifecycle, including pre-arrears, collections and recoveries, and across our lending products in the EU.

🔑 You’ll play a key role by...

• Working with the broader FinHealth team to ensure the effective delivery and localisation of FinHealth capabilities for European markets, aligning with local regulatory requirements and customer needs
• Acting as the primary FinHealth lead in Europe by navigating the complex regulatory landscape of the European Union, ensuring our practices  remain within risk appetites and comply with regional regulations
• Owning Collections and Recoveries outcomes, balancing good customer outcomes with strong portfolio performance
• Supporting our product and tech squads in shaping in-app journeys and features that support customers facing financial difficulties, ensuring alignment with broader Monzo strategies
• Working with Operations to implement collections processes consistent with prescribed strategy
• Working with  a team of data analysts to extract insights into customer behaviour and financial performance, optimising our financial health strategies

🤩 We’d love to hear from you if…

• You have direct experience leading collections & recoveries strategies or products for a regulated lender in a European context
• Strong understanding of the critical role collections & recoveries play within the credit risk strategy of a lending business
• Deep knowledge of European consumer credit regulations and how they differ across member states
• Adaptability and ability to thrive in a fast-moving, dynamic company environment

🙌 What’s in it for you

💰€108,800-€132,480 + benefits

📍This role will have a hybrid working model, based in our Dublin office

⏰ 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

🏝 Annual Leave - 34 days including public holidays (24 holiday days + 10 public holidays)

📚€1,200 learning budget each year to use on books, training courses and conferences

🏥 Private healthcare scheme

💰 Pension scheme: the minimum contribution is 4% and Monzo matches any additional contributions that you make up to a maximum of 6%

💛 Wellbeing benefits: financial education, women’s and men’s health support, mental health benefits, including coaching and counselling

🌈 The application journey has 4 key steps

• 30 min call with the Recruiter
• 30 min video call with the Hiring Manager
• 2 hours of technical and behavioural interviews
• Final call with senior leadership

This process should take around 2-3 weeks from your 1st interview - 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.

#LI-MOS1

📍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  | 💰 £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 

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