Senior Analyst, AML Analytics
Core
Designing and developing advanced statistical monitoring models to detect financial crime (money laundering, sanctions, fraud) for small business banking customers.
Role type
Senior IC AML Analytics Engineer (Financial Crime)
Builds
Behaviour-based transaction monitoring controls and risk segmentation strategies for SME banking members
Domain
Financial Services / Anti-Money Laundering (AML) / Risk Management
Deliverable
production ML models
Required skills
SQL, Python (Pandas, PySpark), statistical methods, optimisation algorithms, model validation, risk-based segmentation, regulatory framework knowledge
Preferred skills
Financial crime or risk management domain experience, experience with large datasets
Technologies
SQL, Python, Pandas, PySpark
Responsibilities
Designing sophisticated behaviour-based monitoring models from transaction-level triggers; applying optimisation techniques to balance detection rates and operational productivity; translating AML typologies into data-driven monitoring logic; creating audit-ready technical documentation for models and controls; contributing to the AML Analytics roadmap for strategic innovation
Seniority
Senior, hands-on IC