Director, Model Risk — AI & Fraud

Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation…

Assess model conceptual soundness, intended use, assumptions, and limitations.

Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review.

Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight…

Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience.

Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners.

Practical experience with statistical and machine learning methods; proficiency in Python and SQL…

Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations.