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Credit Analyst

visspo United Kingdom
Remote Visa Sponsorship
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AI Summary

We're seeking a Credit Analyst to develop and optimize unsecured credit risk and pricing strategies for Monzo's lending products. You'll work closely with Product, Engineering, and Data teams to build profitable portfolios and improve customer outcomes through data-driven decision making. Key requirements include strong SQL skills, experience in unsecured retail lending, and a deep understanding of UK lending regulations.

Key Highlights
Develop and optimize unsecured credit risk and pricing strategies
Work with Product, Engineering, and Data teams to build profitable lending portfolios
Strong SQL skills required with Python and Looker experience as plus
Experience in UK unsecured retail lending and lending economics
Flexible UK-based working with remote options available
Key Responsibilities
Develop and optimize unsecured credit risk and pricing strategies
Support design and roll-out of new lending strategies by finding patterns in data
Monitor performance of existing strategies and iterate to improve them
Develop, maintain, and monitor credit models to assess net present value of lending cohorts
Build and maintain database tables and dashboards for data-driven decisions
Assess how lending portfolio of particular products will perform over time
Technical Skills Required
SQL Python Looker
Benefits & Perks
£59,100 to £79,900 + incentive awards
Visa sponsorship available
Remote work within UK
Flexible working hours
£1,000 annual learning budget
MacBook provided for remote workers

Job Description


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

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

After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.

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

We’re not about selling products - we want to solve problems and change lives through Monzo ❤️

📍London, Cardiff or Remote (UK) | 💰 £59,100 to £79,900 + 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.

🔑 You’ll play a key role by...

  • 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! 💼

🤩 We’d love to hear from you 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 L30 Credit Analysts at the moment, you can read more in our Data Progression Framework

🌈 The application journey has 3 key steps

  • Recruiter call
  • Initial call
  • Final stage (x3 interviews) consisting of a case study, role specific interview and collaboration interview

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.

🙌 What’s in it for you

💰 £59,100 to £79,900 + 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

🏡 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.

Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.

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

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


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