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Текст:
Hirify AI/Оригинал
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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