Job Description
We are looking for an experienced AML Modeling Expert to build and enhance anti-money laundering models across fiat payment and crypto trading scenarios. This role will leverage on-chain and transactional data to identify complex money laundering patterns and strengthen the platform’s overall risk control and compliance capabilities.
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
