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About the Role

Seeking an experienced AI/ML Model Validation and Governance professional to independently evaluate predictive, machine learning, Generative AI, and other advanced analytical models. The ideal candidate combines strong quantitative skills, hands-on Python and SQL experience, and a thorough understanding of model risk management within a regulated environment.

Responsibilities

• Perform independent validation of predictive, statistical, AI/ML, and Generative AI models.
• Evaluate model methodology, assumptions, data quality, implementation, performance, limitations, and intended use.
• Conduct benchmarking, sensitivity analysis, stress testing, and performance testing.
• Assess model explainability, bias, fairness, robustness, and regulatory compliance.
• Review models using structured and unstructured data, including NLP, LLM, and RAG-based solutions.
• Evaluate model monitoring frameworks, performance thresholds, and governance controls.
• Document findings clearly and communicate recommendations to model developers, business stakeholders, risk teams, and senior management.
• Support the continued development of AI governance and model risk standards.

Requirements

• 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.

Skills

• Python
• SQL
• NLP
• LLM
• RAG-based solutions
• Benchmarking
• Explainability
• Bias and fairness testing
• Sensitivity analysis
• Model monitoring
• Model risk management
• AI governance
• Responsible AI frameworks

Location

• New York City, NY

Work Type

• Full-time
• Hybrid

Experience Level

• Experienced
• 4+ years

Education Level

• Advanced degree in mathematics, statistics, computer science, data science, engineering, economics, or another quantitative discipline.

Salary/Compensations

• Up to $210,000 base salary
• 10% annual bonus
• Sign-on bonus

About the Company

• Highly established financial services organization.