A hybrid role at Coins.ph.
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Original listing text, shown exactly as published by the company.
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)
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…
Coins.ph
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166 open roles on Sydicom
Coins.ph is a leading fintech company operating a regulated mobile wallet and cryptocurrency exchange platform in the Philippines. It enables users to easily buy, sell, and store various cryptocurrencies, as well as access digital payment services like bill payments and remittances. The company is widely recognized for pioneering cryptocurrency and digital asset services in the region.
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