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

OKX · Сингапур · опубликовано 19 августа

SeniorРискиPythonSQL

Кто мы

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.

Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

О Opportunity

Singapore based, we are looking for an experienced Senior Product Manager – AI Risk Strategy to lead the evolution of OKX Buy/Sell Crypto risk control capabilities. You will own the end-to-end risk strategy across transaction risk, fraud prevention, review operations and AI-powered decision making.

At OKX, you will have the opportunity to build next-generation AI-native risk systems that protect millions of users worldwide. You will play a key role in redefining how AI Agents, Large Language Models and intelligent decision engines transform fraud prevention and operational efficiency across one of the world's leading crypto platforms. This role is highly data-driven and requires strong ownership. You will independently analyze risk data, identify fraud patterns, design and optimize risk strategies, and drive the transformation from traditional manual review to AI Agent-powered intelligent review. You will work closely with Engineering and Risk Operations teams to build scalable, intelligent and efficient risk systems.

Что предстоит делать

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.

What We Look For In You

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.

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.