AI Model Risk Validator & Governance Specialist

The Mutual Group; New York (NY); Hybrid; USD 100,000 - 135,000; Full time

Benefits offered by this job

401(K) with company match

Medical, dental, vision

Wellness incentives

Paid time off

Educational assistance

Job summary

The Mutual Group in New York seeks an experienced AI/ML model validator to independently assess models across the organization and its carriers.

You will evaluate design, data quality, performance, bias, and explainability, and contribute to governance decisions. This role includes ongoing monitoring, documentation, and collaboration with risk and security teams.

Hybrid work options are available near the home office, with training and in-office days as needed.

Qualifications

• 5+ years in data science, model risk mgmt, or AI/ML validation.
• Experience with predictive models in regulated environments (insurance/financial services preferred).
• Strong understanding of machine learning models and statistical techniques.
• Familiarity with NAIC AI Model Bulletin, NIST AI RMF and governance standards.
• Ability to translate technical findings into business and risk implications.

Responsibilities

• Perform independent validation of AI/ML models, including design, methodology, and assumptions.
• Review data quality, training/test data representativeness, and performance metrics.
• Assess bias, explainability, and edge cases; identify model limitations.
• Provide input into AI governance decisions and support AIS/Security Governance with risk perspectives.
• Lead twice-annual validation and monitor drift, stability, and performance degradation.
• Ensure validation documentation is clear, traceable, and reproducible.
• Support inquiries with technical analysis and evidence.

Skills

Data science

Model risk management

AI/ML validation

Bias & fairness

Model lifecycle

NAIC AI Bulletin

Job description

The Mutual Group in New York seeks an experienced AI/ML model validator to independently assess models across the organization and its carriers.

You will evaluate design, data quality, performance, bias, and explainability, and contribute to governance decisions. This role includes ongoing monitoring, documentation, and collaboration with risk and security teams.

Hybrid work options are available near the home office, with training and in-office days as needed.