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Quantitative Model Validation Analyst Jobs in Washington, DC

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

Collaborate with Counterparty Credit Risk Management, model governance, model validation ... Strong quantitative, technical, research, and programming skills. * Strong analytical skills with ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

Experience sourcing, analyzing, validating, and reconciling large financial datasets used in model ... Strong quantitative, technical, research, and programming skills. * Strong analytical skills with ...

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All JobsQuantitative Model Validation Analyst JobsQuantitative Model Validation Analyst Jobs in Washington, DC

Quantitative Model Validation Analyst information

See Washington, DC salary details

$64K

$151.6K

$271.8K

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

As of Aug 27, 2026, the average yearly pay for quantitative model validation analyst in Washington, DC is $151,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $164,800.00 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.

What are popular job titles related to Quantitative Model Validation Analyst jobs in Washington, DC?

For Quantitative Model Validation Analyst jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Quantitative Model Validation Analyst jobs in Washington, DC look for?

The top searched job categories for Quantitative Model Validation Analyst jobs in Washington, DC are:

Quantitative Model Validation Analyst jobs near you
Infographic showing various Quantitative Model Validation Analyst job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $151,629 per year, or $72.9 per hour.

Quantitative Analytics Senior - Capital Markets

Ashton Lane Group, Inc

Mclean, VA • On-site

Full-time

Re-posted 16 days ago

Job description

Quantitative Model Review 
 
Support the capital markets model risk / validation for a leading financial institution
 
Responsibilities:
 
  • Perform all tasks related to model validation to evaluate and manage model risks associated with models in the investment and capital markets area.
  • Conduct technical validation of the company models, including writing a detailed independent model validation report
  • Follow model governance procedures and requirements
  • Remediate regulatory findings and address audit feedback
  • Work collaboratively with partners to ensure effective management of model risk enterprise wide
  • Work collaboratively with model Validators to ensure timely delivery of model review projects
     
    Requirements:
     
  • Experience in model development, model validation, quantitative analysis, and/or risk management within financial services
  • Strong knowledge of econometric models, tools and techniques
  • Deep curiosity to learn about new things with critical thinking, ability to think creatively and connect dots
  • Flexible and adaptable, capable of multi-tasking effectively in a highly efficient environment
  • Excellent communication skills.
  • Advanced degree in economics, finance, mathematics, statistics or related field
     
    For immediate consideration, please forward resume and contact details to: info@ashtonlanegroup.com
     
    Ashton Lane Group is a boutique executive recruitment firm serving the Banking, Insurance, and Alternative Investment sectors. For the latest opportunities, visit www.AshtonLaneGroup.com
     
    Ashton Lane Group® “A trusted advisor throughout your career”