Lead Machine Learning Scientist, FinCrime

Monzo·Cardifflead

In short

→Líder técnico en ciencia de ML para detectar fraude y delitos financieros en un banco digital.
→Trabajas con billones de datos, desarrollando modelos de IA para proteger clientes y reducir pérdidas.
→Impacto directo en la rentabilidad y experiencia del cliente, con autonomía para innovar y probar soluciones.

Fluent English required for collaboration and documentation.

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

✓Experiencia probada en ciencia de datos o ML con dominio en detección de fraude.
✓Habilidades avanzadas en Python y frameworks de ML (scikit-learn, XGBoost, etc).
✓Capacidad para liderar técnicamente sin gestionar equipos (IC líder).
✓Experiencia con grandes volúmenes de datos en entornos cloud (AWS/GCP).
✓Capacidad para comunicar resultados técnicos a audiencias no técnicas.
✓Conocimiento en métricas de evaluación de modelos anti-fraude (precisión, recall, F1, etc).

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonSQLAWSGCPSparkKubernetesDockerAirflowMLflowscikit-learn

Who should you write to at Monzo?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

🚀 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 | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨ About our Machine Learning FinCrime Team: Our Financial Crime Data team consists of over 25 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll be working in a fast moving environment, building and iterating on our financial crime defensive capabilities to ensure we keep Monzo and our customers safe. Our financial crime team has a large impact on Monzo’s bottom line as fraud and scams are usually some of the largest cost line items in a bank's P&L. We have a major influence on the overall customer experience and it’s our duty to keep our customers safe. The work we do results in directly measurable customer or company benefit, which is incredibly satisfying. Our Machine Learning Scientists work on a range of problems within the different financial crime areas ranging from fraud detection and prevention, transaction monitoring for different types of suspicious activity through to customer risk assessment and operational tooling. What you’ll be working on: A Lead Machine Learning Scientist at Monzo is a technical Individual Contributor (IC) leadership position. As a technical Machine Learning expert, working with billions of rows of data stored on a modern cloud native data platform, we’ll be expecting you to leverage your deep experience of developing and deploying advanced Machine Learning models to: • Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs • Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time. The technical approaches you take to help solve these problems will be very much in your hands and we’ll strongly encourage and support experimentation and innovation. We’ll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs. Your day-to-day: As a technical individual contributor, you’ll be providing technical leadership and shipping highly impactful ML-based solutions. You’ll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You’ll also be a tec

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.