Machine Learning Manager (Fincrime)

Join Monzo, a fast-growing fintech company, as a Machine Learning Manager in the Fraud group. In this role, you will lead a team of ML specialists, focus on high-impact problems, and create conditions for high-quality ML delivery. You will also contribute to the wider Machine Learning and Data discipline at Monzo. Enjoy a range of benefits, including a yearly salary review, flexible working hours, and a learning budget.

• Lead and manage a team of Machine Learning specialists, providing coaching, feedback, and development plans to help them excel in their careers.
• Collaborate with cross-functional partners to prioritize and focus ML efforts on high-impact problems, ensuring alignment with customer protection and regulatory expectations.
• Oversee the full model lifecycle, ensuring high-quality ML delivery, including model development, deployment, monitoring, governance, and ownership.
• 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 care deeply about building inclusive teams where people with different levels of experience can grow, challenge each other, and do high-quality work sustainably
• 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’ve managed Machine Learning specialists and have delivered through others and want to move further into people management
• You’re comfortable working in ambiguous, high-impact problem spaces where there often isn’t one “right” answer
• You focus on outcomes over process, and can help a team prioritise work that protects customers and moves the business forward
• You communicate clearly with technical and non-technical audiences, especially when explaining trade-offs, risks and recommendations
• 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
• 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
• If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply, even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you!
• Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team