Director, Model Risk — AI & Fraud
OKX is a leading global cryptocurrency exchange offering a wide range of trading services, including spot and derivatives trading, as well as Web3 solutions.
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About OKX
OKX is a global cryptocurrency exchange known for its trading services and financial products. The platform offers a wide range of features, including spot and derivatives trading, staking services, and a user-friendly interface suitable for both beginners and experienced traders.
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Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will establish and own the independent validation framework for fraud models and AI-enabled decision systems, covering conceptual soundness, data quality, implementation and outcomes analysis. You will personally run end-to-end validations, reproduce results through hands-on analysis and code review, assess AI/ML, LLM-based and agentic systems, review ongoing monitoring, and provide effective challenge to model owners while tracking remediation.
Requirements
- Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or equivalent experience
- 10+ years of quantitative, fraud risk, or model risk experience as a hands-on technical expert delivering independent validations
- Excellent communication and judgment
- Practical experience with statistical and machine learning methods; proficiency in Python and SQL
- Working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks
- Experience with AI/ML governance and controls, including explainability, fairness, robustness and ongoing monitoring
Responsibilities
- Establish and own the independent validation framework for fraud models and AI-enabled decision systems
- Assess model conceptual soundness, intended use, assumptions and limitations
- Personally execute end-to-end model validations, including reproducing results through data analysis and code review
- Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability and human oversight
- Perform ongoing monitoring review and periodic revalidation
- Provide effective challenge to model owners and communicate conclusions, limitations and risk ratings to senior management
- Track remediation through closure
- Build and mature the fraud model validation capability, standards and workflows
Benefits
- Team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare for employees and dependants
- Performance bonus and long-term incentives may be provided