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Model Validation Analyst Jobs (NOW HIRING)

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

$210K - $280K/yr

AI Model Validation Lead Be part of something groundbreaking At AIG, we are making long-term ... The position demands a strong analytical mindset, excellent communication skills, and the ability ...

A. seeks a Model Validation 2nd LOD Lead Analyst for its Tampa, FL location. DUTIES: Support the Model Risk Management Framework, including policy, processes, and procedures the firm uses to identify ...

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Model Validation Analyst information

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How much do model validation analyst jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for model validation analyst in the United States is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $38.46 per hour, depending on experience, location, and employer.

What is a model validation analyst?

Model Validation Analysts are professionals who assess and validate mathematical models used by organizations, especially in finance and risk management. Their primary responsibility is to ensure that these models are accurate, reliable, and compliant with regulatory standards. They review model assumptions, methodologies, and data inputs, as well as perform independent testing and documentation. By doing so, they help organizations manage risks and make informed decisions based on trustworthy model outputs.

What skills and qualifications are needed to be a model validation analyst?

To thrive as a Model Validation Analyst, you need strong quantitative analysis skills, a background in statistics or mathematics, and typically a degree in a relevant field such as finance, economics, or data science. Familiarity with statistical software (e.g., SAS, R, Python), risk modeling tools, and knowledge of regulatory requirements are essential. Attention to detail, critical thinking, and effective communication skills help you interpret model results and convey findings to stakeholders. These competencies ensure robust model risk management, regulatory compliance, and informed decision-making within financial institutions.

What are common challenges faced by model validation analysts, and how can they be addressed?

Model Validation Analysts often encounter challenges such as evaluating complex models with limited documentation, managing tight deadlines for validation reports, and staying current with evolving regulatory requirements. These challenges can be addressed by maintaining clear communication with model developers, utilizing standardized validation frameworks, and participating in ongoing training or workshops. Building strong analytical and documentation skills also helps ensure thorough and effective model assessments.

What is the difference between Model Validation Analyst vs Quantitative Analyst?

AspectModel Validation AnalystQuantitative Analyst
Required CredentialsBachelor's in finance, statistics, or related field; often certifications like CFA or FRMBachelor's or higher in finance, mathematics, or related; CFA or FRM common
Work EnvironmentFinancial institutions, risk management, model validation teamsInvestment banks, asset management firms, hedge funds
Employer & Industry UsageUsed in risk management, model validation departmentsUsed in trading, investment analysis, portfolio management

The Model Validation Analyst primarily focuses on verifying and validating financial models to ensure accuracy and compliance within risk management teams. In contrast, Quantitative Analysts develop and implement complex models for trading and investment strategies. While both roles require strong quantitative skills and similar certifications, their core responsibilities and work environments differ significantly.

How much does a Model Validation Analyst make?

A Model Validation Analyst typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in risk management or financial modeling may have higher salaries, often supplemented with bonuses and benefits.

What does a model validation analyst do?

A model validation analyst evaluates and verifies the accuracy, reliability, and performance of financial or statistical models used in risk management, credit, or trading. They review model assumptions, conduct testing, and ensure compliance with regulatory standards, often using tools like SAS or R. This role requires strong analytical skills and attention to detail to prevent model risk and support decision-making.
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Infographic showing various Model Validation Analyst job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $65,000 per year, or $31.2 per hour.

Actuarial Model Validation Consultant

Manhattan, NY • On-site

Other

Posted 4 days ago


Job description

Our client is seeking experienced consultants to support an actuarial model testing and validation program. The engagement will involve independent assessment of actuarial and insurance risk models and/or investment and analytics models. Candidates should have strong experience with model validation methodologies, insurance risk frameworks, and MG-ALFA.

Key Responsibilities
  • Perform testing and validation of actuarial, insurance risk, and investment/analytics models.
  • Assess model assumptions, methodologies, data inputs, calculations, and outputs.
  • Evaluate model governance, controls, documentation, and validation findings.
  • Leverage MG-ALFA expertise to support model review, testing, and validation activities.
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