About our Machine Learning, Financial Crime 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. We protect our users from financial crime, significantly reducing fraud costs and improving customer experience.

Our Machine Learning Scientists tackle a range of problems: fraud detection and prevention, transaction monitoring, customer risk assessment and operational tooling. We use deep learning, graph neural networks and transformers to build scalable, real‑time detection systems.

What you’ll be working on

As a Staff ML Scientist you will lead the most senior Individual Contributor role across the FinCrime collective, driving the next phase of fraud and financial crime prevention. You will:

• Lead the ongoing development of an advanced, scalable, automated fraud & FinCrime detection system that reduces wrong...