AI Model Risk Validation Specialist at The Mutual Group

, Iowa, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jul, 26

Salary

135000.0

Posted On

20 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model validation, AI/ML model assessment, Risk evaluation, Predictive modeling, Data science, Statistical techniques, Model governance, Bias and fairness assessment, Model explainability, Regulatory compliance, Technical documentation, Drift monitoring, Performance benchmarking, Risk mitigation, Audit support

Industry

Insurance

Description

Department: Information Technology Job Description: 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. Work Arrangement: 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. Accountabilities: 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 FactSheets 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 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 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 Regulatory review Ensure validation results are: Clearly documented Traceable and reproducible Support inquiries with technical analysis and evidence Qualifications: 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 Pay Range: Anticipated Hiring Range: $100,000 - $135,000 annual base salary depending on experience, qualifications, and geographic location Benefits: We are proud to offer our full-time regular employees a robust benefits suite that includes: Competitive base salary plus incentive plans for eligible team members 401(K) retirement plan that includes a company match of up to 6% of your eligible salary Free basic life and AD&D, long-term disability and short-term disability insurance Medical, dental and vision plans to meet your unique healthcare needs Wellness incentives Generous time off program that includes personal, holiday and volunteer paid time off Flexible work schedules and hybrid/remote options for eligible positions Educational assistance Equal Opportunity Employer 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. Know Your Rights: Workplace Discrimination is Illegal Your Rights Under USERRA Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact Talent@themutualgroup.com. Employment Verification 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 your citizenship status and national origin. E-Verify Program Overview E-Verify Participation Poster All offers of employment are contingent upon the successful completion of a background check. #TMG 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. Know Your Rights: Workplace Discrimination is Illegal Your Rights Under USERRA Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contact Talent@themutualgroup.com. 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 your citizenship status and national origin. All offers of employment are contingent upon the successful completion of a background check.

Responsibilities

The specialist will perform independent technical validation of AI/ML models to ensure accuracy, fairness, and regulatory compliance. They will also lead ongoing monitoring of model performance and provide technical risk perspectives to support AI governance decisions.