Senior AML Modeling Engineer

Coins.ph is a leading cryptocurrency platform that provides a wide range of financial services, including digital wallets and cryptocurrency trading.

• 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) 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

Coins.ph is the Philippines' leading fiat and crypto wallet and exchange, enabling users to buy, sell, and trade over 170 cryptocurrencies like Bitcoin and Ethereum, as well as access financial services including remittances, bill payments, and mobile top-ups. It serves over 18 million users through a mobile app and is fully regulated by the Bangko Sentral ng Pilipinas as the first crypto-based company in Asia with both Virtual Currency and Electronic Money Issuer licenses.[1][2][4]