Senior AML Modeling Engineer (Payments & Crypto)

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