Senior Machine Learning Scientist, Borrowing

Were on a mission to make money work for everyone.

Were 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 aspersonal 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 andcombine 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!

Were not about selling products - we want to solve problems and change lives through Monzo

London/Cardiff/UK Remote 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 Monzos 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.

Whats in it for you:

86000 to 105000 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 1000 a year for books training courses and conferences

And much more see our full list of benefits here

#LI-DC2 #LI-Remote

Equal opportunities for everyone

Diversity and inclusion are a priority for us and were making sure we have lots of support for all of our people to grow at Monzo. At Monzo were 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 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report.

Were 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 dont need full or birth names at application stage