Director Model Risk AI and Fraud

1 day agoHeadSalary: 200K - 300KSan Jose, USAAiJobs by OKX

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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C/O APPLEBY GLOBAL SERVICES (SEYCHELLES) LIMITED, Suite 202, 2nd Floor, Eden Plaza, Eden Island, PO Box 1352, Mahe, Victoria, Seychelles, Seychelles

Funding history

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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Skills

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 an independent validation framework for fraud models and AI-enabled decision systems. You will perform end-to-end model validations, reproduce results through data analysis and code review, assess AI and ML systems, review ongoing monitoring, communicate risk findings, and track remediation to closure.

Requirements

  • Master’s or Ph.D. in a quantitative field or equivalent experience
  • 10+ years of quantitative, fraud risk, or model risk experience
  • Experience independently validating models and decision systems
  • 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 and ML governance and controls
  • Excellent communication and quantitative judgment

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
  • Execute end-to-end model validations through data analysis and code review
  • Assess AI, ML, generative AI, LLM-based, and agentic systems for robustness, reliability, explainability, and human oversight
  • Review ongoing monitoring and conduct periodic revalidation
  • Challenge model owners and communicate conclusions, limitations, and risk ratings to senior management
  • Track remediation through closure
  • Build and mature fraud model validation standards and workflows

Benefits

  • Team building programs and company events
  • Wellness and meal allowances
  • Comprehensive healthcare schemes for employees and dependants