Machine Learning Manager, Fincrime

Навыки

• Общение с клиентами
• Лидерство
• Machine Learning
• Мониторинг и observability
• Ответственность за результат
• SMM
• Управление командой

О компании и продукте

• 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

Задачи

• We’re on a mission to make money work for everyone
• We’re waving goodbye to the complicated and confusing ways of traditional banking
• 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

Требования

• After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK
• 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
• Not ticking every box?
• That’s totally okay!
• At Monzo, we’re dedicated to creating a diverse and welcoming team
• Drop us your application, we’d love to hear from you!

Условия

• £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
• The application journey has 3 key steps
• Recruiter call
• Initial interview with ML/Data leadership, focused on your people leadership, ML judgement and delivery experience
• Loop stage, likely covering team and stakeholder leadership, technical ML judgement, and Monzo behaviours
• This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible!
• We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here
• Equal opportunities for everyone
• Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo
• At Monzo, we’re 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 , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report
• We’re 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
• As well as personal 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 and combine 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!

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