反洗钱风险分析师(成都)
Core
Build AI-driven anti-money laundering (AML) risk models and feature systems to detect illicit financial activities in the payment domain.
Role type
Senior IC machine-learning engineer (AML risk analysis)
Builds
Production ML models for suspicious transaction monitoring and risk feature systems
Domain
Fintech / Payments / Anti-Money Laundering
Deliverable
production ML models
Required skills
SQL, data analysis, machine learning, data mining, payment risk modeling, AML regulations knowledge
Preferred skills
AI project experience in AML (smart analysis, smart due diligence), prior AML model development experience
Responsibilities
Identify money laundering risks and patterns using data analysis; Analyze business scenario risks using ML and data mining to detect payment fraud; Build risk feature systems to improve detection efficiency.
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