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Quantitative 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 ... Master's degree in a quantitative field such as Mathematical Finance, Financial Engineering ...

Maplecroft

Senior Model Validation Analyst

Boston, MA · On-site

$120 - $180/hr

As a Senior Model Validation Analyst, you will independently evaluate sophisticated scientific, engineering, and financial model components, turning complex data into clear evidence that models are ...

Verisk

Senior Model Validation Analyst

Boston, MA · On-site

$120 - $180/hr

As a Senior Model Validation Analyst, you will independently evaluate sophisticated scientific, engineering, and financial model components, turning complex data into clear evidence that models are ...

Maplecroft

$120 - $180/hr

As a Senior Model Validation Analyst, you will independently evaluate sophisticated scientific, engineering, and financial model components, turning complex data into clear evidence that models are ...

Fhlbcin

Sr. Quantitative Model Analyst

Cincinnati, OH · On-site

$120 - $160/hr

Sr. Quantitative Model Analyst General Summary: Independently leads and assists activities related ... Independently perform validation and governance efforts related to Bank models. Conduct ...

Valley Bank

Quantitative Model Analyst

Morristown, NJ · On-site

$122K - $192K/yr

Perform quantitative and qualitative analyses of financial models, including the capital stress ... Validate selected models including theoretical model design, data integrity and completeness, and ...

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Quantitative Model Validation Analyst information

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$56.5K

$133.9K

$240K

How much do quantitative model validation analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for quantitative model validation analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a quantitative model validation analyst?

Quantitative Model Validation Analysts are professionals who assess and validate financial models used by banks and financial institutions. They ensure that these models are accurate, reliable, and comply with regulatory standards. Their work involves testing model assumptions, reviewing model methodologies, and analyzing model outputs to identify potential risks or weaknesses. By providing an independent review, they help organizations maintain the integrity and performance of their risk management and financial forecasting tools.

What are some typical challenges faced by quantitative model validation analysts when assessing complex financial models?

Quantitative Model Validation Analysts often encounter challenges such as interpreting intricate model methodologies, ensuring data integrity, and effectively communicating technical findings to stakeholders who may not have a quantitative background. Additionally, staying current with evolving regulatory requirements and industry standards can be demanding. Collaborating closely with model developers, risk managers, and auditors is crucial to address model limitations and propose actionable improvements, making strong communication and analytical skills essential for success in this role.

What are the key skills and qualifications needed to thrive as a quantitative model validation analyst, and why are they important?

To thrive as a Quantitative Model Validation Analyst, you need a strong background in quantitative finance, statistics, and programming, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical software such as Python, R, MATLAB, and model risk management frameworks is essential, and certifications like FRM or CFA are advantageous. Analytical thinking, attention to detail, and effective communication skills set top performers apart by enabling them to explain complex model risks and recommendations clearly. These skills and qualities are vital for ensuring the accuracy, reliability, and regulatory compliance of financial models within an organization.

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

AspectQuantitative Model Validation AnalystQuantitative Risk Analyst
CredentialsTypically requires a degree in finance, mathematics, or statistics; certifications like CFA or FRM are commonSimilar credentials; often holds CFA, FRM, or related certifications
Work EnvironmentFocuses on validating models used in risk management, trading, or credit scoring within financial institutionsAnalyzes and manages financial risk, including market, credit, and operational risks in banking or investment firms
Industry UsageCommonly employed in banking, asset management, and insurance sectorsWidely used in banking, hedge funds, and financial services

The main difference is that Quantitative Model Validation Analysts focus on testing and validating models to ensure accuracy and compliance, while Quantitative Risk Analysts assess and manage overall financial risks. Both roles require strong quantitative skills and often overlap in credentials and work environments, but their core responsibilities differ in scope and focus.

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Quantitative Model Validation Analyst jobs near you
Infographic showing various Quantitative Model Validation Analyst job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 82% In-person, 12% Hybrid, and 6% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Model Validation Analyst

Satnam Data Systems, Inc

Plano, TX

Contractor

Re-posted 3 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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