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AI Model Risk Validation Specialist

The Mutual Group • New York, New York, United States

hybridfull-time

Salary: $100,000 - $135,000 / year

Posted Sep 13, 2026Apply by Oct 13, 2026

Role & seniority: ** Independent AI Systems Model Validation validator; individual contributor (IC), ~5+ years** experience

**Location & work type: ** Hybrid or in-office expected if living within 30 miles of The Mutual Group home office; initial training may require additional in-office days

**Stack/tools (implied): ** AI/ML validation and monitoring tooling; documentation/governance frameworks incl. NAIC AI Model Bulletin and NIST AI RMF (no specific software/tools listed)

**Top 3 responsibilities: **

  1. Independent model validation of AI/ML systems used for underwriting, claims, and decision-making (design/methodology, data quality/representativeness, metrics/thresholds, vendor FactSheets/docs review).

  2. Model risk assessment (bias/fairness, explainability/interpretability, limitations/edge cases; assess against NAIC/model risk management practices; recommend mitigations).

  3. Ongoing monitoring & governance input (lead twice-annual validations; monitor drift/stability/performance degradation; provide technical second-line review for AI governance decisions; maintain audit-ready documentation).

**Must-have skills: **

  • 5+ years in data science, model risk management, or AI/ML validation

  • Strong predictive model evaluation/validation methodology

  • Ability to assess bias/fairness, explainability, and model lifecycle risks

  • Experience in regulated environments (insurance/fin

Full 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

AI/ML Model ValidationModel Risk ManagementData SciencePredictive ModelingBias and Fairness AnalysisExplainabilityInterpretabilityStatistical TechniquesModel Lifecycle ManagementNAIC AI Model BulletinNIST AI RMFTechnical DocumentationModel MonitoringRisk MitigationGovernanceAudit Supportmulti-location

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