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

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.

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

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

Benefits

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

See also

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