Senior Product Manager, AI Risk Strategy (Buy/Sell Crypto)

Skills

About the Role

Own the end-to-end risk strategy for Buy/Sell Crypto products, covering transaction risk control, fraud prevention, review workflows, decision engines, data analysis, policy optimization, AI Agent-powered review, and scalable risk systems.

Requirements

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Engineering, Mathematics, or a related discipline
• 5+ years of experience in Risk Strategy, Fraud Detection, Risk Product Management, Trust & Safety, or related fields
• Experience designing transaction risk strategies, fraud detection systems, or review platforms
• Ability to analyze large datasets, identify risk patterns, and translate insights into risk strategies
• Strong SQL and data analysis skills
• Experience designing and optimizing rule engines, policy engines, risk scoring, or decision engines
• Understanding of fraud prevention, transaction risk, payment risk, or account security
• Experience with machine learning or AI-based model policies, evaluation metrics, and strategy iterations
• Hands-on experience with Large Language Models, prompt engineering, policy design, model evaluation, and production iteration
• Experience designing or implementing AI Agent workflows or AI-assisted review systems
• Strong analytical, problem-solving, ownership, and execution skills
• Fluency in English and Mandarin

Responsibilities

• Own the end-to-end risk strategy for Buy/Sell Crypto products
• Design and optimize risk control architecture including rule engines, policy engines, model orchestration, and review systems
• Analyze transaction and risk data to identify fraud patterns and optimization opportunities
• Design and iterate risk policies, decision thresholds, confidence scores, and human-in-the-loop review mechanisms
• Conduct root cause analysis, monitor risk performance, and perform A/B testing
• Lead the transformation of manual review into AI Agent-powered intelligent review
• Optimize AI Agents through prompt engineering, policy iteration, feedback loops, and model evaluation
• Improve operational efficiency through automation and reduced manual review costs
• Partner with Engineering teams to deliver scalable, reliable, and intelligent risk systems

Benefits

• L&D programs
• Education subsidy
• Team building programs
• Company events
• Wellness allowances
• Meal allowances
• Comprehensive healthcare schemes for employees and dependants