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

1 нед. назад

Hong KongSingaporeWorldwideSenior

aifraud preventionrisk managementlarge language models

Lead the evolution of AI-powered risk control strategies for buy/sell crypto transactions at .

Будет плюсом

Experience in cryptocurrency, fintech, payments, banking or internet risk control.
Experience building AI-native products or AI-powered operational systems.
Familiarity with Retrieval-Augmented Generation (RAG), agent orchestration, tool calling and model evaluation frameworks.
Experience with A/B testing, strategy experimentation and online/offline model evaluation.
Knowledge of AML, KYC, payment fraud, account takeover, scam prevention or identity risk.
Experience working with AI coding assistants or automation tools to improve product development efficiency.

Условия

Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
 
#LI-ONSITE #LI-WWW

Другое

Own the end-to-end risk strategy for Buy/Sell Crypto products, including transaction risk control, fraud prevention, review workflows and decision engines.
Design and continuously optimize the risk control architecture, including rule engines, policy engines, model orchestration and review systems.
Independently analyze large-scale transaction and risk data to identify fraud patterns, emerging attack vectors and strategy optimization opportunities.
Design, implement and iterate risk policies based on data-driven insights to improve fraud detection while minimizing user friction.
Define and optimize model policies, decision thresholds, confidence scores and human-in-the-loop review mechanisms.
Conduct root cause analysis, monitor risk performance and perform A/B testing to continuously improve strategy effectiveness.
Lead the transformation of manual review into AI Agent-powered intelligent review by designing LLM-driven workflows, reviewing policies and operational processes.
Drive continuous optimization of AI Agents through prompt engineering, policy iteration, feedback loops and model evaluation.
Improve operational efficiency by increasing automation, optimizing resource utilization and reducing manual review costs.
Partner closely with Engineering teams to deliver scalable, reliable and intelligent risk systems.
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.
Strong experience designing transaction risk strategies, fraud detection systems or review platforms.
Proven ability to independently analyze large datasets, identify risk patterns and translate insights into effective risk strategies.
Strong SQL skills and hands-on experience with data analysis. Experience with Python, Spark or other analytical tools is a strong plus.
Experience designing and optimizing rule engines, policy engines, risk scoring or decision engines.
Strong understanding of fraud prevention, transaction risk, payment risk, account security or related risk domains.
Experience designing model policies, evaluation metrics and strategy iterations for machine learning or AI-based systems.
Hands-on experience with Large Language Models (LLMs), including prompt engineering, policy design, model evaluation and production iteration.
Experience designing or implementing AI Agent workflows, AI-assisted review systems or intelligent operational processes.
Strong analytical thinking with the ability to perform root cause analysis and make data-driven decisions.
Excellent problem-solving skills with a high level of ownership and execution.
Fluent in both English and Mandarin to support cross-functional collaboration in a global environment.