Senior AML Modeling Engineer (Payments & Crypto)

country: CN all locations: [Any Hong Kong Singapore, Singapore] commitment: department: Data & AI & Risk location: Any team: Risk Strategy Responsibilities: Develop and optimize AML risk models (rule-based engines + machine learning) Design transaction monitoring strategies (e.g., anomaly detection, transaction structuring, fund flow analysis) Analyze on-chain data to track fund movements and identify high-risk address behaviors Build user risk scoring systems integrating KYC, transactional, and blockchain data Continuously improve model performance, reduce false positives, and enhance investigation efficiency Requirements: 5+ years of experience in AML / risk modeling (mandatory) Proven end-to-end experience in deploying AML models (e.g., transaction monitoring, risk scoring, investigation support) Strong proficiency in Python and SQL for data analysis and modeling Solid understanding of common AML typologies (e.g., layering, smurfing, cash-out) Hands-on experience with machine learning models (e.g., XGBoost, LightGBM) Preferred Qualifications: Experience in crypto / blockchain analytics Familiarity with on-chain analytics tools (e.g., Chainalysis, Elliptic) Background in AML within payments, banking, or crypto industries Experience with graph analytics or real-time risk systems Goals: Enhance detection capabilities for complex money laundering activities Reduce false positives and improve investigation efficiency Proactively identify high-risk fund flows