AI Model Risk Validation Specialist

Department:
Information Technology

Serve as the independent validator of AI Systems, responsible for technical assessment, model risk evaluation, and ongoing monitoring of AI/ML models across The Mutual Group and its member insurance carriers. This is a highly hands‑on individual contributor role focused exclusively on AI Systems, with emphasis on predictive models impacting underwriting, claims, and decision‑making. The role supports the AIS Program by providing objective, technical validation input into governance and approval decisions.

Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in‑office schedule. The initial training period may require additional in‑office days.

• Model Validation (Core Responsibility)
  • Perform independent validation of AI/ML models, including:
  • Model design, methodology, and assumptions
  • Training and test data quality and representativeness
  • Performance metrics, thresholds, and benchmarking
  • Review vendor‑provided Fact Sheets and technical documentation for completeness and accuracy
• Risk Assessment
  • Evaluate key model risks, including:
  • Bias and fairness
  • Explainability and interpretability
  • Model limitations and edge cases
  • Assess alignment with NAIC expectations and model risk management practices
  • Identify gaps and recommend risk mitigation strategies
• Governance Integration
  • Provide independent validation input into AI governance decisions
  • Support the AIS / Security Governance Team by contributing technical risk perspectives during AI system reviews
  • Act as a second‑line reviewer to challenge assumptions and strengthen decision‑making
• Ongoing Monitoring
  • Lead twice‑annual validation of AI Systems
  • Monitor predictive models for drift, stability, and performance degradation
  • Ensure monitoring practices align with AIS Program requirements
  • Recommend corrective actions when performance or risk thresholds are breached
• Documentation & Audit Support
  • Maintain model validation documentation for internal audit and regulatory review
  • Ensure validation results are clearly documented, traceable, and reproducible
  • Support inquiries with technical analysis and evidence

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

Anticipated Hiring Range: $100,000 - $135,000 annual base salary depending on experience, qualifications, and geographic location.

• Competitive base salary plus incentive plans for eligible team members
• 401(K) retirement plan with a company match of up to 6% of eligible salary
• Free basic life and AD&D, long‑term disability, and short‑term disability insurance
• Medical, dental, and vision plans to meet healthcare needs
• Wellness incentives
• Generous time‑off program including personal, holiday, and volunteer paid time off
• Flexible work schedules and hybrid/remote options for eligible positions
• Educational assistance

The Mutual Group is an Equal Opportunity Employer. It is our policy to recruit, hire, train, and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity, or any other characteristic protected by law.

All offers of employment are contingent upon the successful completion of a background check. The Mutual Group participates in the E‑Verify program and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected from employment discrimination based on citizenship status and national origin.