Machine Learning Manager, Fincrime in London

Our Financial Crime and Fraud Team is dedicated to combating financial crime, which causes real harm. In Fraud, we build controls that help protect customers from scams, stolen-card fraud, account takeover, and other fast-changing threats, all while keeping Monzo smooth and fair for the millions of people who use us every day. Machine Learning is central to that work. Our ML specialists build, ship, and improve models that help us spot risk, make better decisions, and keep our customers safe. We work closely with Product, Risk Partners, Engineering, Data, and other disciplines to turn ambiguous fraud problems into reliable controls that make a measurable difference for customers.

We’re looking for a Machine Learning Manager to lead ML specialists across different levels of seniority in the Fraud group. You’ll report to the Senior ML Manager for the FinCrime Collective, and you’ll help the team deliver high-impact ML systems while growing a healthy, inclusive, and high-performing team.

You’ll play a key role by:

• Managing, coaching, and developing a team of Machine Learning specialists, helping them do the best work of their careers through regular 1:1s, clear feedback, and thoughtful development plans.
• Helping the Fraud group focus ML effort on the highest-impact problems, balancing customer protection, regulatory expectations, operational impact, and delivery pace.
• Partnering with PMs, Risk Partners, Engineering Managers, Data Managers, and senior ML/Data colleagues to shape roadmaps, unblock delivery, and make clear trade-offs.
• Creating the conditions for high-quality ML delivery: reliable model development, deployment, monitoring, governance, documentation, and ownership across the full model lifecycle.
• Holding a high bar for ML excellence in Fraud, including model performance, explainability, reproducibility, observability, and safe operation in production.
• Making sure ML products are owned, maintained, and improved over time, rather than treated as one-off projects.
• Building a strong team culture where people give and receive useful feedback, learn from each other, and work well with cross-functional partners.
• Contributing to the wider Machine Learning and Data discipline at Monzo, including hiring, improving ways of working, and sharing patterns that help other teams move faster and more safely.

We’d love to hear from you if:

• You’ve managed Machine Learning specialists and have delivered through others and want to move further into people management.
• You have strong ML judgement and can guide teams through the full model lifecycle, from problem framing and feature/model development through to deployment, monitoring, governance, and iteration.
• You’re comfortable working in ambiguous, high-impact problem spaces where there often isn’t one “right” answer.
• You can build trusted relationships with Product, Risk, Engineering, Data, and senior stakeholders, and you know how to bring the right people into the right conversations early.
• You focus on outcomes over process, and can help a team prioritise work that protects customers and moves the business forward.
• You know what good looks like for production ML systems, and you can raise the bar through coaching, review, standards, and pragmatic decision-making.
• You communicate clearly with technical and non-technical audiences, especially when explaining trade-offs, risks, and recommendations.
• You care deeply about building inclusive teams where people with different levels of experience can grow, challenge each other, and do high-quality work sustainably.

Experience in fraud, financial crime, risk, regulated environments, or customer protection would be a bonus, but it’s not the only way to be successful here. We’re most interested in your ability to lead ML work that has real-world impact.