Summary

Lead data scientist developing machine learning systems to detect and mitigate anti-money laundering risks at Wise. The role uses Python and GenAI for detection, evaluation, and production deployment; no work arrangement is specified.

Responsibilities

• Develop AML detection controls using machine learning
• Build regional coverage frameworks for detection controls
• Evaluate AML systems against internal and external benchmarks
• Optimize decision layers for precision-recall trade-offs
• Integrate operational feedback into automation systems
• Package algorithms into production-ready Python services
• Maintain automated data gathering and model retraining pipelines