Назад
8 дней назад

Director, Model Risk — AI & Fraud

200 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Director, Model Risk — AI & Fraud (AI/Fraud Model Validation): Establishing and leading independent validation of fraud models and AI-enabled decision systems across crypto products with an accent on conceptual soundness, data quality, implementation review, and outcomes analysis. Focus on hands-on evaluation of machine learning, generative AI, LLM-based, and agentic systems, challenging model owners, and building a fraud model validation capability from the ground up.

Location: New York, United States or San Jose, California, United States

Salary: $200,000–$300,000 per year, with potential performance bonus and long-term incentives.

Company

OKX is a crypto exchange and developer of OKX Wallet, OKLink, and decentralized crypto applications serving retail and institutional users.

What you will do

  • Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products.
  • Assess conceptual soundness, intended use, assumptions, limitations, data quality, implementation, and outcomes.
  • Personally execute end-to-end validations through hands-on data analysis, code review, and independent reproduction of results.
  • Evaluate machine learning, anomaly detection, graph and network analytics, rules-based, hybrid, generative AI, LLM-based, and agentic systems for robustness, reliability, explainability, and human oversight.
  • Review ongoing monitoring and periodic revalidation as fraud patterns and business conditions change.
  • Communicate conclusions, limitations, and risk ratings; challenge model owners and track remediation through closure while maturing the validation capability.

Requirements

  • Master’s or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative discipline, or equivalent experience.
  • 10+ years of quantitative, fraud risk, or model risk experience with a record of personally delivering independent model and decision-system validations.
  • Strong communication and judgment, including explaining quantitative findings to senior audiences and constructively challenging 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 have

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

Culture & Benefits

  • Competitive total compensation with healthcare coverage for employees and dependants.
  • Performance bonus and long-term incentives may be provided.
  • Wellness and meal allowances.
  • Team-building programs and company events.
  • Employment is subject to equal opportunity policies and applicable background-record considerations.

Hiring process

  • Apply through the OKX internal or external careers site; third-party listings may be inaccurate or outdated.

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