Role in brief
OKX is seeking a Director of Model Risk focused on AI and Fraud to lead the validation of fraud models and AI systems. Candidates should have extensive experience in quantitative fields and a strong background in model risk management.
About the role
As the Director of Model Risk at OKX, you will be responsible for establishing a validation framework for fraud models and AI systems across the company's products. This role requires a deep understanding of model risk frameworks and the ability to assess the conceptual soundness and performance of models in a rapidly evolving crypto environment.
You will work closely with senior management to communicate findings and provide insights into model performance, while also building and enhancing the fraud model validation capabilities within the team. Success in this role means ensuring robust risk management practices that adapt to changing fraud patterns and business conditions.
The compensation for this role ranges from $200,000 to $300,000, reflecting the seniority and expertise required.
Skills that matter here
- Statistics: This role requires a strong foundation in statistics to validate fraud models and AI systems.
- Mathematics: Mathematical expertise is essential for assessing model soundness and performance.
- Computer Science: A background in computer science is needed for executing end-to-end model validations.
- Python: Proficiency in Python is necessary for hands-on data analysis and model validation.
- SQL: SQL skills are required for data manipulation and analysis in the validation process.
Who this role suits
- Someone with over 10 years of experience in quantitative analysis and model risk management.
- A hands-on technical expert who is comfortable executing independent validations of models.
- An individual with strong communication skills who can effectively convey complex quantitative findings to senior audiences.
- A proactive problem-solver who can constructively challenge model owners and drive improvements.
From the employer
- 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, applying strong applied AI evaluation expertise.
- Perform ongoing monitoring review 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.
- Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience.
- 10+ years of quantitative, fraud risk, or model risk experience, with a 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.
- Competitive total compensation package
- 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!
Questions about this role
What is the remote policy?
This position is office-based with no remote work mentioned.
What level of experience is required?
Candidates should have over 10 years of experience in quantitative, fraud risk, or model risk.
How do I apply?
Interested candidates can apply through the OKX website.
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