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Risk Model Validation Jobs (NOW HIRING)

Model Risk Analyst-Validation

Buffalo, NY ยท On-site

$91K - $101K/yr

Model Risk Analyst - Validation Job Location: One M&T Plaza, Buffalo, NY 14203. Ensure the accuracy, reliability, and compliance of models in accordance with Company or regulatory standards and ...

AI Model Validation Lead Be part of something groundbreaking At AIG, we are making long-term ... Certification in model risk management or AI ethics (e.g., SAS Certified AI & Machine Learning ...

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Risk Model Validation information

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How much do risk model validation jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for risk model validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Risk Model Validation, and why are they important?

To thrive in Risk Model Validation, you need a strong background in quantitative finance, statistics, and risk management, often supported by degrees in mathematics, finance, or related fields. Familiarity with programming languages (such as Python, R, or SAS), statistical modeling tools, and regulatory frameworks like Basel III is essential. Attention to detail, analytical thinking, and effective communication are important soft skills for articulating findings and collaborating with stakeholders. These skills ensure the accuracy and integrity of risk models, which are critical for informed decision-making and regulatory compliance in financial institutions.

What is risk model validation?

Risk model validation is the process of assessing and ensuring that a financial or statistical risk model is accurate, reliable, and appropriate for its intended use. This typically involves reviewing the model's design, data inputs, assumptions, and performance against real-world outcomes. The goal is to identify any weaknesses, limitations, or errors in the model so that organizations can manage risks more effectively and comply with regulatory requirements. Risk model validators often use back-testing, stress testing, and benchmarking against industry standards as part of the validation process.

What are some typical challenges faced in a Risk Model Validation role, and how can candidates prepare for them?

Professionals in Risk Model Validation often encounter challenges such as staying current with evolving regulatory standards, managing large and complex datasets, and clearly communicating technical findings to non-technical stakeholders. To prepare, candidates should strengthen their understanding of regulatory frameworks (like SR 11-7 or Basel guidelines), develop strong quantitative and programming skills, and practice translating complex model results into actionable business insights. Being proactive in continuous learning and open collaboration with risk, audit, and business teams is also key for success in this dynamic field.

What is the difference between Risk Model Validation vs Credit Risk Analyst?

AspectRisk Model ValidationCredit Risk Analyst
Primary FocusAssessing the accuracy and robustness of risk modelsAnalyzing credit data to evaluate borrower risk
CertificationsFRM, CFA, or similarCFA, Credit Certifications
Work EnvironmentQuantitative, model development teamsCredit departments, lending teams
Industry UsageFinancial institutions, risk management firmsBanks, lending institutions

Risk Model Validation primarily focuses on testing and validating risk models to ensure their accuracy, while Credit Risk Analysts evaluate individual credit data to assess borrower risk. Both roles require quantitative skills and relevant certifications but differ in their specific responsibilities and work environments.

More about Risk Model Validation jobs
What job categories do people searching Risk Model Validation jobs look for? The top searched job categories for Risk Model Validation jobs are:
Infographic showing various Risk Model Validation job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

AI Model Risk Validation Specialist

The Mutual Group

Atlanta, GA โ€ข Hybrid

$100K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job 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 inoffice 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 Groupis 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 contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram 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 fromemployment discriminationbased 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.

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