AI Model Risk Validator & Governance Lead

The Mutual Group; Chicago (IL); Híbrido; USD 100.000 - 135.000; Tempo integral

Benefícios oferecidos por esta vaga

Competitive base salary with incentive

401(k) with company match up to 6%

Life/AD&D, long-term & short-term dis.

Medical, dental, vision

Wellness incentives

Generous time off & volunteer PTO

Hybrid/remote options

Educational assistance

Resumo da vaga

The Mutual Group is seeking an experienced validator to independently assess AI/ML models across the organization. You will evaluate model design, data quality, performance thresholds, and regulatory alignment, acting as a second-line reviewer in governance decisions.

You will lead semi-annual validations, monitor drift and performance, and ensure documentation is clear, traceable, and audit-ready. This role offers hybrid/remote options for eligible employees within commuting distance.

Qualificações

• 5+ years in data science, model risk management, or AI/ML validation.
• Experience with predictive models in regulated environments (insurance/financial services preferable).
• Strong understanding of ML models, evaluation methods, bias concepts, and lifecycle management.
• Familiarity with NAIC AI Model Bulletin, NIST AI RMF, and governance standards.

Responsabilidades

• Perform independent validation of AI/ML models, including design, data quality, performance metrics, and benchmarking.
• Review vendor-provided FactSheets and technical documentation for completeness and accuracy.
• Evaluate key model risks, including bias, explainability, and edge cases.
• Provide validation input into AI governance decisions and support AIS/Security Governance.
• Lead twice-annual validation and monitor drift, stability, and performance degradation.
• Maintain validation documentation for audits and regulatory reviews.

Conhecimentos

Data science

Model risk management

AI/ML validation

Bias and fairness

Explainability

Descrição da vaga

The Mutual Group is seeking an experienced validator to independently assess AI/ML models across the organization. You will evaluate model design, data quality, performance thresholds, and regulatory alignment, acting as a second-line reviewer in governance decisions.

You will lead semi-annual validations, monitor drift and performance, and ensure documentation is clear, traceable, and audit-ready. This role offers hybrid/remote options for eligible employees within commuting distance.