Senior AI Model Risk Validator & Governance Lead — Hybrid

The Mutual Group; Des Moines (IA); Hybrid; USD 100,000 - 135,000; Full time

Benefits offered by this job

401K with company match

Life and disability insurance

Medical, dental and vision plans

Wellness incentives

Generous time off

Flexible work schedules

Educational assistance

Job summary

The Mutual Group seeks an experienced AI/ML validator to independently assess AI systems, model risk, and governance impact within a regulated insurance environment. You will evaluate design, data quality, performance thresholds, and provide risk-based recommendations.

You will contribute to AI governance discussions, monitor models for drift and performance, and support regulatory and internal audits with clearly documented analyses. Hybrid work is expected near the Des Moines area.

Qualifications

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

Responsibilities

• Validate AI/ML models including design, data quality, performance metrics and benchmarking.
• Review vendor-provided sheets and documentation for completeness and accuracy.
• Evaluate model risks including bias, fairness, explainability, and limitations.
• Provide independent validation input into AI governance decisions and risk reviews.
• Lead twice-annual validation of AI systems and monitor drift, stability and performance.

Skills

Data science

Model risk management

AI/ML validation

Explainability & bias

Communication of results

Job description

The Mutual Group seeks an experienced AI/ML validator to independently assess AI systems, model risk, and governance impact within a regulated insurance environment. You will evaluate design, data quality, performance thresholds, and provide risk-based recommendations.

You will contribute to AI governance discussions, monitor models for drift and performance, and support regulatory and internal audits with clearly documented analyses. Hybrid work is expected near the Des Moines area.