[Hiring] Machine Learning Manager, Fincrime @Monzo

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• 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. 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.

Benefits

• £113,200 - £153,200 + Incentive Awards tied to your performance.
• We can help you relocate to the UK.
• We can sponsor your visa.
• This role can be based in our London office, but we're open to distributed working within the UK, with ad hoc meetings in London.
• 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.
• £1,000 learning budget each year to use on books, training courses and conferences.
• We’ll set you up to work from home; all employees are given MacBooks and for fully remote workers we’ll provide extra support for your work-from-home setup.
• Plus lots more! Read our full list of benefits.