Monzo

FinTech

MachineLearningManager,Fincrime

£113–153k Cardiff, United Kingdom; London, United Kingdom; United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Machine Learning Manager, Fincrime at Monzo. Skills: Machine Learning Management, ML Systems, Team Leadership. Manage coaching developing ML specialists. Help team deliver high-impact ML systems”

What You'll Achieve.

Protect customers; Move business forward; Raise the bar ML excellence

Industry & Context.

FinTech
Problems you'll solve

Ambiguous problems; High-impact problems; Pragmatic decision-making

What They're Looking For.

Must Have

Managed Machine Learning specialists, ML judgement, Guide teams through full model lifecycle, Build trusted relationships, Focus on outcomes over process, Good production ML systems, Communicate clearly technical non-technical audiences, Build inclusive teams

Nice to Have

Experience in fraud, Financial crime experience, Risk experience, Regulated environments experience, Customer protection experience

What You'll Do.

Manage coaching developing ML specialists

Help team deliver high-impact ML systems

Grow healthy inclusive high-performing team

Focus ML effort on highest-impact problems

Balance customer protection regulatory expectations

Partner with PMs Risk Partners Engineering Managers

Shape roadmaps unblock delivery make trade-offs

Create conditions for high-quality ML delivery

Ensure reliable model development deployment monitoring

Ensure model governance documentation ownership

Hold high bar for ML excellence

Ensure ML products owned maintained improved

Build team culture feedback learning

Contribute to wider ML Data discipline

Improve ways of working

Share patterns help other teams

How You'll Work.

Team & Collaboration

Cross-functional partners; Product Risk Engineering Data; Senior ML Data colleagues; Stakeholder leadership

Communication Scope

Clear communication; Explaining trade-offs; Explaining risks; Explaining recommendations

Process & Methodology

Roadmap planning, Delivery pace

Full Job Description

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. 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! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £113,200 - £153,200 + Incentive Awards tied to your performance + Benefits ✨ Our Financial Crime and Fraud Team ⭐ Financial crime 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, helpi

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