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AI Model Risk Validation Specialist

The Mutual Group

Role at a glance

Category: Risk
Work arrangement: Hybrid
Location: Erie, PA
Salary range: $100,000 to $135,000
Posted: Jul 20, 2026

Apply for this roleApplications go directly to The Mutual Group

The Mutual Group is hiring a AI Model Risk Validation Specialist in Erie, PA. This is a Risk role in the governance, risk, and compliance field, with a posted range of $100,000 to $135,000. Review the full details below and apply directly with The Mutual Group.

Executes independent technical validations of AI/ML predictive models utilized across insurance underwriting, claims, and decisioning workflows. Evaluates model conceptual soundness, dataset representativeness, algorithmic bias, and performance drift. Ensures alignment with NAIC AI guidelines, NIST AI RMF, and internal risk governance

Full responsibilities and requirements are on The Mutual Group's application page.

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About The Mutual Group

Hiring for governance, risk, and compliance roles on GRC Careers.

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Location and market context

This role is based in Erie, PA on a hybrid schedule. Local candidates benefit from being close to The Mutual Group's teams and regional hiring market, while the hybrid arrangement offers some flexibility. Confirm the exact in-office expectation and any relocation support with the employer.

About risk management roles

Risk roles own the methodology for identifying, assessing, and escalating enterprise, operational, and technology risk. Second-line teams set risk appetite and challenge the first line. Roles like this one are typically evaluated against frameworks such as enterprise and operational risk frameworks, NIST AI RMF, and risk-appetite and escalation practices.

How to position yourself for this risk management role

Strong candidates emphasize risk assessment methodology, appetite and escalation, cross-functional partnership, and clear reporting to senior leadership and the board. In your resume and outreach, tie your experience to how The Mutual Group would apply enterprise and operational risk frameworks, NIST AI RMF, and risk-appetite and escalation practices, and lead with concrete outcomes rather than duties.