Job Overview
Job description
- Salary:
- GBP 138,000 - 176,000 per year
- Location:
- United Kingdom
- Work arrangement:
- On-site
Role Summary
🚀 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/UK Remote | 💰 £138,000 to £176,000 + Incentive Awards tied to your performance +benefits | Hear from the team ✨
Borrowing is one of Monzo ’s most important growth engines. We’ve built strong scale in the UK, and the next phase is even more ambitious: grow in the UK, expand into new customer segments, and build the underwriting capability needed to scale into Europe.
We’re looking for a senior ML leader to help shape that next phase.
You’ll lead a high-calibre team of ML scientists and help define Borrowing’s ML roadmap across UK growth, new customer segments, and EU expansion. You’ll work across underwriting, pricing, limits, and lifecycle decisioning — improving today’s models while helping build the next generation of capability for Monzo .
- This role combines near-term commercial impact with long-term strategic advantage :
- improving performance across our range of products
- unlocking new data and faster model development
- helping Monzo build underwriting that scales into new markets
- shaping how advanced ML and AI can create real value in Borrowing
You’ll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo .
Responsibilities
- Borrowing ML roadmaps across UK optimisation, new customer segments, and EU expansion
- Faster model improvement through new data and feature engineering
- How Monzo uses Open Banking, transaction intelligence, and external data in credit decisioning
- More portable underwriting capabilities across products, customer segments, and markets
- Hiring, leading, and developing a high-performing ML team
- Raising the bar on model quality, governance, tooling, and speed of iteration
- What you’ll be working on
Requirements
Examples of the challenges you could help lead
- Improving underwriting models across Loans, Flex, and Overdrafts
- Expand the data we use in our models
- Building better feature engineering and model shipping capability
- Improving transaction intelligence for credit use cases
- Developing underwriting capabilities for new customer segments and EU markets
- Shaping Monzo ’s approach to advanced ML and AI
- Our technology stack
- We rely heavily on the following tools and technologies, although we do not expect applicants to have prior experience of all of them:
- Google Cloud Platform
- BigQuery SQL and dbt
- Python and the PyData stack
- Google AI Platform
- AWS
- Python for ML services
- Go for backend services
- AI tooling for productivity
- Google Workspace including Gemini
- ChatGPT Enterprise
- Claude Code
- You should apply if
- You want to shape the next phase of credit decisioning at one of Europe’s most ambitious fintechs
- You enjoy combining strategic leadership with strong technical judgment
- You’re excited by the intersection of underwriting, data, product, and platform capability
- You like building teams as much as building models
- You care about real customer and business impact
- You must have
- Credit and machine learning
- Strong knowledge of machine learning, statistics, and decisioning systems
- Deep experience in credit risk and lending
- Experience building, deploying, and iterating credit models in production
- Experience pushing the innovation frontiers of the credit industry
- Leadership and delivery
- Experience leading and developing senior ML scientists
- Strong cross-functional leadership with Product, Credit Strategy, Engineering, and Validation
- Track record of turning strategy into practical delivery in a regulated environment
- It would be great if you also have
- Experience across more than one market
- Experience with advanced ML methods and AI on structured financial data
Benefits
- 💰 £138,000 to £176,000 ➕ plus stock options & benefits
- ✈️ We can help you relocate to the UK
- ✅ We can sponsor visas
- 📍This role can be based in our London office with a hybrid working pattern, or fully remote within the UK with occasional travel to London.
- 🏡 We’ll set you up to work from home, including support for remote setups.
- ⏰ We offer flexible working hours and trust you to work in a way that lets you do your best work.
- 📚 Learning budget for books, training courses and conferences
- ➕ And much more — see our full list of benefits here
- Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo . At Monzo , we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 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 😊
About the Company
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.
With our Flex product we’re reinventing credit cards to give customers more visibility and control over their spending. With our Flex product, we’re reinventing credit cards to give customers more visibility and control over their spending. Flex portfolio management is currently in its infancy—meaning this role is a true "zero-to-one" blank canvas. Flex behaves differently from a standard credit card, so we are looking for a highly strategic Credit Risk Manager who can challenge legacy banking assumptions, think from first principles, and put the customer at the heart of our lifecycle strategies.
You will lead an initial team of 3 credit analysts (with scope to grow the team over time) to unlock massive P&L and customer engagement potential on a rapidly growing portfolio. While the immediate focus is scaling safely in the UK, you will help lay the groundwork for a global footprint as Monzo expands into Europe.
Additional Information
- 30 min Recruiter Call
- 45 min Initial Call
- 60 min ML technical interview
- 60 min People Leadership interview
- 60 min Product / Credit ML interview
All interviews will be conducted through Google Meet.
- Role:
- Senior Machine Learning Manager, Borrowing
- Job Type:
- Full Time
Company profile
Monzo
monzo.comMonzo is a UK bank that offers personal and business accounts through a smartphone app, with features such as Pots for sorting salary and turning spare change into savings. Its products include joint accounts, accounts for children, savings with variable interest and credit cards, including the Flex product. More than 16 million personal and business customers trust Monzo with their banking. The company is based in London, has further offices in Cardiff, and lets its community suggest features and test the app.
- Company Size
- 5,000 - 10,000 employees
- Headquarters
- London, United Kingdom
- Founded
- 2015
- Founders
- Tom Blomfield, Jason Bates, Paul Rippon, Gary Dolman, Jonas Huckestein
In the news
Monzo aims to make money work for everyone
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