The opportunity
The Risk AI Engineering Squad is a cross-functional team within the Risk & Compliance tribe, responsible for developing cutting-edge data products and ML solutions that power Transaction Monitoring and protect our merchant base from Money Laundering and Financial Crime. We…
What you'll do
Build and ship production ML systems end to end: own and evolve end-to-end batch training pipelines, model versioning, monitoring, model deployment, and rollback for transaction monitoring models.
Build, maintain, and improve ML models for transaction monitoring, focusing: on detection quality, operational efficiency, and regulatory compliance
Engineer features mapped to AML and Fraud typologies and suspicious: behaviours, working closely with Risk investigators to translate domain knowledge into alerting logic and threshold calibration
Run sensitivity tests on synthetic datasets, produce ML governance artefacts: such as model cards, and deliver audit-ready documentation to meet regulatory expectations
Own and evolve the AML Risk Score by analysing driver contributions,: monitoring drift, running back-testing, and recommending improvements to features, logic, and thresholds
Partner with AML and Fraud Operations, Product, and Engineering to translate: stakeholder needs into actionable, scalable data science solutions
What they're looking for
- Track and improve detection performance metrics, adapt solutions to regional: compliance requirements, and contribute to system design documentation
