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📍Cardiff, London or Remote (UK) | 💰 £76,500 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing
Our team
Our Borrowing Collective is building innovative, responsible lending products that give customers greater transparency, flexibility, and control over their money. You’ll be working on Monzo’s credit card products, helping to design, optimise, and grow our lending strategies.
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:
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:
Bonus points if you have:
We're on the look out for L40 Senior Credit Analysts at the moment, you can read more in our Data Progression Framework
Interview process
Our typical process is structured as:
Our average process takes around 3-4 weeks but we will always work around your availability.
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
#LI-LG1 #LI-Remote
Ready to apply?
Apply to Referrals Only
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📍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):
Your day-to-day responsibilities:
You should apply if:
The Interview Process:
Our interview process involves 4 main stages:
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
Ready to apply?
Apply to Referrals Only
Share this job
📍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):
Your day-to-day responsibilities:
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:
The Interview Process:
Our interview process involves 4 main stages:
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
Ready to apply?
Apply to Referrals Only
Share this job
📍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:
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:
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:
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
Ready to apply?
Apply to Referrals Only
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