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Model Validation Analyst Jobs (NOW HIRING)

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

... analyses, and stress testing outcomes. • Actively challenge assumptions, data quality, and ... model validation, model risk management, or related roles. • Expertise in supervised and ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA

$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 ...

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How much do model validation analyst jobs pay per hour?

As of Aug 21, 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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Model Validation Analyst jobs near you
Infographic showing various Model Validation Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $65,000 per year, or $31.2 per hour.

AI Model Validation Lead, GenAI

AIG

Atlanta, GA • On-site

Full-time

Re-posted 13 days ago

AIG rating

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

120th of 311 rated insurance

Job description

Job Summary:
AIG is making long-term investments in a new Generative AI team to explore innovative applications of artificial intelligence in insurance and beyond. The AI Model Validation Lead will ensure the accuracy, robustness, and ethical compliance of AI models, working closely with data scientists and engineers to validate models and recommend improvements.
Responsibilities:
• Design and execute comprehensive model validation strategies, including quantitative and qualitative assessments.
• Review model development documentation, code, and datasets for correctness, completeness, and compliance with regulatory standards.
• Conduct independent testing of AI models, evaluating performance metrics, sensitivity analyses, and stress testing outcomes.
• Actively challenge assumptions, data quality, and methodology used to build and implement models
• Identify and communicate model risks, limitations, and potential biases to stakeholders, ensuring transparency and accountability.
• Collaborate with cross-functional teams to refine modeling approaches and support continuous improvement.
• Prepare clear validation reports and audit trails for review and internal governance.
Qualifications:
Required:
• Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 10+ years of experience in AI/machine learning model validation, model risk management, or related roles.
• Expertise in supervised and unsupervised learning techniques, deep learning, natural language processing, and statistical modeling.
• Proficiency in programming languages such as Python, R, or Java, and familiarity with ML frameworks.
• Strong knowledge of data governance, ethical AI principles, and regulatory requirements impacting AI models (e.g., GDPR, Fair Lending, Basel II/III).
• Experience with model validation tools, version control, and documentation best practices.
• Excellent analytical, problem-solving, and written communication skills.
• Ability to manage multiple projects and deadlines, working both independently and as part of a team.
Preferred:
• Prior experience in insurance and/or financial services, healthcare, or regulated industries.
• Certification in model risk management or AI ethics (e.g., SAS Certified AI & Machine Learning Professional).
• Demonstrated ability to lead complex validation projects and mentor junior team members.
Company:
American International Group provides property insurance, life insurance, and financial services. Founded in 1919, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

What AIG employees say

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Benefits

Hours and flexibility

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About AIG

Sourced by ZipRecruiter

American International Group, Inc. (AIG) is a leading global insurance organization. Building on 100 years of experience, today AIG member companies provide a wide range of property casualty insurance, life insurance, retirement solutions, and other financial services to customers in more than 80 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets, manage risks and provide for retirement security.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1919

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