Senior Product Manager, AI Risk Strategy (Buy/Sell Crypto)
OKX
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1,430 open strategy roles across 249 companies are on ApplySarthi right now, most of them in Bengaluru (24), Hyderabad (15), Delhi NCR (12).
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What strategy roles keep asking for: Stakeholder management (13%) — counted across their open postings here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
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Questions you are likely to be asked
- Why do you want to join OKX?
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- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Senior Product Manager, AI Risk Strategy (Buy/Sell Crypto) at OKX interview free →Who We Are
About the Opportunity
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.
What You’ll Be Doing
- 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.
Nice to Haves
- 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.
Perks & Benefits
- 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!
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Listed on greenhouse · posted 2026-08-19. ApplySarthi collects openings and links to application pages; the role is advertised by OKX, not by us.