
Senior Machine Learning Manager, Borrowing
About this role
Role Overview
The Senior Machine Learning Manager, Borrowing at Monzo is a strategic technical leadership position based in London, Cardiff, or available as fully remote within the UK. This opportunity suits an experienced machine learning leader who wants to direct credit decisioning, shape borrowing strategies, and scale underwriting capabilities into new European markets.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Monzo operates with a mission to make money work for everyone by transforming traditional banking through digital solutions. Starting as a prepaid card provider, the company now offers personal and business bank accounts, joint accounts, accounts for teenagers, credit cards, savings, investments, and pension consolidation. The organization focuses on solving financial problems, providing transparent services, and fostering an inclusive workplace where diverse talent can thrive.
How to Apply
Interested candidates should submit their application directly on the official Monzo careers page.
Skills and tech stack
Questions candidates ask
What is the location flexibility for this role?
The position can be based out of the London or Cardiff offices on a hybrid schedule, or performed as fully remote from anywhere within the United Kingdom with occasional travel to London.
What salary range is offered for the Senior Machine Learning Manager?
The salary ranges from £138,000 to £176,000 per year, accompanied by performance-tied incentive awards, stock options, and comprehensive benefits.
What technical stack does the team use?
The technology stack heavily utilizes Python, PyData, SQL, dbt, Google Cloud Platform, BigQuery, AWS, and Go, alongside AI tools like Gemini and ChatGPT Enterprise.
Is visa sponsorship available for this position?
Yes, visa sponsorship is available, and the company can assist with relocation to the United Kingdom.
What does the interview process involve?
The interview process includes a recruiter call, an initial call, a machine learning technical interview, a people leadership interview, and a product/credit machine learning interview conducted via Google Meet.