Senior AI/ML Model Validation & Governance Specialist
$210,000–$210,000 year
HybridNew York City, New York, United States or New York, United States
Job Summary
Independently evaluate predictive, machine learning, and Generative AI models by assessing methodology, data quality, performance, and regulatory compliance. Conduct benchmarking, sensitivity analysis, stress testing, and explainability reviews while monitoring governance controls and bias. Document findings and communicate recommendations to developers, stakeholders, and senior management to support evolving AI governance standards. Requires advanced quantitative degree, four years of model validation experience, and strong Python/SQL skills within a regulated financial services environment. Full-time hybrid role based in New York City with three days onsite per week.
Required Qualifications
- Advanced degree in mathematics, statistics, computer science, data science, engineering, economics, or another quantitative discipline
- At least 4 years of direct experience in model validation, model risk management, or AI/ML governance
- Hands-on experience independently validating predictive or AI/ML models
- Strong Python and SQL skills
- Experience with benchmarking, explainability, bias and fairness testing, sensitivity analysis, and ongoing model monitoring
- Understanding of model risk management principles and regulatory expectations
- Experience working in financial services, insurance, banking, or another regulated industry
- Strong written and verbal communication skills
- Ability to work onsite in New York City three days per week
Desired Qualifications
- Experience validating Generative AI, LLM, NLP, or RAG-based solutions
- Familiarity with AI governance and responsible AI frameworks
- Experience with structured and unstructured datasets
- Knowledge of SR 11-7 or comparable model risk management guidance
- Experience presenting validation findings to senior stakeholders or governance committees
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