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Senior AML Modeling Engineer (Payments & Crypto)

Location
Any
Work mode
hybrid
Type
full-time
Department
Data & AI & Risk, Risk Strategy
Last seen
22h ago
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
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