Senior AI Model Risk Validator

Jobtailor; Illinois; On-site; USD 120,000 - 180,000; Full time

Job summary

The Mutual Group seeks an experienced AI/ML validation professional to act as an independent validator across its AI systems and insurer partners. You will assess model design, data quality, performance metrics, thresholds, and benchmarking, and report risks with mitigation actions.

Responsibilities include reviewing vendor documentation, evaluating bias, fairness, and alignment with NAIC and NIST guidance, while maintaining reproducible validation records for audits and governance decisions.

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.
• Strong understanding of model evaluation and validation methodologies.
• Strong understanding of bias and fairness concepts.
• Strong understanding of model lifecycle management.
• Familiarity with NAIC AI Model Bulletin and NIST AI RMF.

Responsibilities

• Act as independent validator of AI Systems and their governance decisions.
• Review design, methodology, data quality, performance metrics, thresholds, and benchmarking.
• Evaluate bias, fairness, explainability, limitations, and edge cases.
• Maintain validation documentation for internal audit and regulatory review.
• Identify gaps and recommend risk mitigation actions.
• Lead periodic validation of AI systems and monitor drift and performance.

Skills

AI/ML validation

Model risk management

Data science

Tools

NAIC AI Model Bulletin

NIST AI RMF

Model governance standards

Job description

The Mutual Group seeks an experienced AI/ML validation professional to act as an independent validator across its AI systems and insurer partners. You will assess model design, data quality, performance metrics, thresholds, and benchmarking, and report risks with mitigation actions.

Responsibilities include reviewing vendor documentation, evaluating bias, fairness, and alignment with NAIC and NIST guidance, while maintaining reproducible validation records for audits and governance decisions.