AI Model Risk Validation Specialist
$100,000–$135,000 year
Hybrid · Chicago, Illinois, United States or New York City, New York, United States
Job Summary
Independent validation of AI/ML models across The Mutual Group and its member insurers, focusing on model risk assessment, data quality, bias/fairness, explainability, governance input, and ongoing monitoring. The role supports the AIS Program, with hybrid/in-office expectations for those within 30 miles of the home office and potential in-office training periods. Responsibilities include validating model design and methodology, assessing data quality, monitoring performance and drift, reviewing vendor documentation, and providing technical risk perspectives during AI governance and reviews. Requires translating technical findings into business risk implications, and producing clearly documented, auditable validation artifacts.
Required 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 machine learning models and statistical techniques
- Model evaluation and validation methodologies
- Bias and fairness concepts
- Explainability and interpretability
- Model lifecycle management
- Familiarity with NAIC AI Model Bulletin and NIST AI RMF
- Ability to translate technical findings into business and risk implications
- NAIC AI Model Bulletin
- NIST AI RMF
- Model governance and validation standards
- Ability to translate technical findings into business and risk implications
- Operational in a regulated environment
- Ability to communicate technical results clearly for audits and regulatory review
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