Remote
$136k–$230k
senior
2 months ago
full-time
quality 9/10
- 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
- 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)
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