Director, Model Risk — AI & Fraud

OKX•San Jose, CA

5d•$200,000 - $300,000

About The Position

OKX is seeking a Model Risk Director focused on Fraud and AI to join its Model Risk Management (MRM) function. As a senior member of the second line of defense, this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX products and customer journeys. The role leads end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications. The position is a hands-on, builder role: the successful candidate will establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems. The role partners closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function. OKX offers a competitive total compensation package, team-building programs and company events, wellness and meal allowances, and comprehensive healthcare schemes for employees and dependants. The salary range is $200,000–$300,000; a performance bonus and long-term incentives may also be provided.

Requirements

Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, or Computer Science, or equivalent experience.
10+ years of quantitative, fraud risk, or model risk experience.
Recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems.
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.
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, ongoing monitoring, or generative and agentic AI applications in fraud operations.

Nice To Haves

Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist.
Hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows.
Ability to run red-team-style testing on AI applications.

Responsibilities

Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis in line with SR 26-2 and equivalent model risk frameworks.
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.
Perform ongoing monitoring reviews and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions.
Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums; and track remediation through closure.
Build and continuously mature the fraud model validation capability, standards, and workflows within MRM.