Summary

Lead Data Scientist building machine learning systems to detect and mitigate money laundering and other financial crime. The role uses Python, supervised and unsupervised learning, and GenAI, and is based in London with hybrid working.

Responsibilities

• Develop AML detection controls using learning models
• Create regional frameworks for control coverage
• Evaluate AML systems against internal and external benchmarks
• Optimize decision layers for precision-recall trade-offs
• Integrate operational feedback into automation systems
• Design data-labeling projects to improve models
• Deploy Python services and automated model retraining