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Model Validation Analyst Jobs (NOW HIRING)

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

If so, being a Model Validation Analyst II with Frost could be for you. At Frost, it's about more than a job. It's about having a flourishing career where you can thrive, both in and out of work. At ...

Bloomberg LP

Model Validation Expert

New York, NY · On-site

Description & Requirements Model Validation Expert (Second Line of Defense) Position Overview The ... Operating at the intersection of quantitative analysis, regulatory compliance, and ESG data ...

Synchrony Financial

AVP, Model Validation

Canton, OH · On-site

$100K - $170K/yr

Serve as a key contributor and lead analyst performing model validation with minimal supervision for credit acquisition, account management, fraud and marketing models built using both machine ...

Synchrony Financial

AVP, Model Validation

Manhattan, NY

$100K - $170K/yr

Serve as a key contributor and lead analyst performing model validation with minimal supervision for credit acquisition, account management, fraud and marketing models built using both machine ...

Synchrony Financial

AVP, Model Validation

Kansas City, KS · On-site

$100K - $170K/yr

Serve as a key contributor and lead analyst performing model validation with minimal supervision for credit acquisition, account management, fraud and marketing models built using both machine ...

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Model Validation Analyst information

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How much do model validation analyst jobs pay per hour?

As of Jul 30, 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 are Model Validation Analysts?

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 are some 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 are the key skills and qualifications needed to thrive as a Model Validation Analyst, and why are they important?

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 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.

More about Model Validation Analyst jobs
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Model Validation Analyst jobs near you
Infographic showing various Model Validation Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $65,000 per year, or $31.2 per hour.

Model Validation Analyst

Satnam Data Systems, Inc

Plano, TX

Contractor

Re-posted 23 days ago

Job description

Job Description

The client's Customer Analytics, Capital and Modeling Department is looking for a highly motivated and qualified Model Validation Consultant to support its objectives. The primary responsibility of this role is to support the model validation team to mitigate the model risks under the model governance for the entire client. The team is responsible to Client and diagnose modeling related risks including input data, assumption, concept, methodology, process and implementation. The team is also responsible to opine on the model strength and weakness and recommend practical solutions. Key Responsibilities: Support the model validation team to mitigate the model risks Discovers and diagnoses modeling related risks including input data, assumption, concept, methodology, process and implementation Provides subject matter expertise on models' strength and weakness and recommend practical solutions Validates models assigned by model governance committee Discusses validation results with model owners and governance team to gain consensus and create strategies to implement changes if needed Utilizes express mode validation for new model development, facing legal and compliance related modeling issues, quick model fixes, etc. Review model documents, and conduct test runs on model codes Provide different view on methodology and calculations, and provide feedback to model developers Work on model validation reports with hiring manager and provide ad hoc support to him

Qualifications

Master's Degree in Statistics, Econometrics, Finance, Operations Research, or equivalent. PhD is preferred 5 plus years of financial modeling development or model validation experience 3 plus years of work experience in SAS and SQL Quantitative analysis skills Preferred or Nice to haves: Work experience in R Work experience in Auto Financial Industry Work knowledge in Lease Residual Value Banking industry experience Auto Finance experience

Additional Information

All your information will be kept confidential according to EEO guidelines.

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