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Quantitative Model Validation Analyst Jobs in Washington, DC

Quantitative Analytics Senior

Mclean, VA · On-site +1

$119K - $189K/yr

Develop and/or analyze quantitative models that assess the market, credit and/or operational risks ... May perform detailed model validation reviews, establishing performance thresholds, researching ...

Principal Quantitative Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

... model selection, validation, deployment, business user training, and monitoring. Basic ... Survival analysis modeling * Time-series analysis * Panel data (longitudinal data or cross ...

Principal Quantitative Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

... model selection, validation, deployment, business user training, and monitoring. Basic ... Survival analysis modeling * Time-series analysis * Panel data (longitudinal data or cross ...

Showing results 21-40

Quantitative Model Validation Analyst information

See Washington, DC salary details

$63.8K

$151.1K

$270.8K

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

As of Sep 4, 2026, the average yearly pay for quantitative model validation analyst in Washington, DC is $151,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $164,200.00 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:

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 $151,060 per year, or $72.6 per hour.

Principal Quantitative Analyst - Global Finance

Capital One

Mclean, VA • On-site

Full-time

Posted 13 days ago


Key responsibilities

  • Partner with various lines of business to develop and enhance modeling and analytical frameworks such as derivatives models and fixed income models.

  • Create novel analytical solutions to challenging business problems across Capital One entities.

  • Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

88th of 174 rated banks


Job description

Principal Quantitative Analyst - Global Finance

At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Quantitative Analyst at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

This position offers a unique opportunity to be a part of the dynamic Finance organization at Capital One. The Finance organization has been on a technology journey seeking to find ways to leverage technology to drive deeper insights and make the complex simple. We are looking for candidates to help in our journey with modeling, analytical and/or model implementation skills to join our finance team.

Responsibilities and Skills:

- Partner with the various lines of business to develop and enhance Capital Markets modeling and analytical framework, such as derivatives models and fixed income models.

- Work across Capital One entities to create novel analytical solutions to challenging business problems.

- Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.

- Collaborate in a cross-disciplinary team to build cloud-based solutions grounded in data.

- Identify opportunities to apply quantitative methods or machine learning to improve business performance.

- Apply deep expertise in mathematics, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers.

- Providing technical guidance to business leadership.

- Communicate technical subject matter clearly and concisely to individuals from various backgrounds.

- Understand and navigate Risk Management Software to enable business analysis.

Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation.

Successful candidates would possess:

- Deep understanding of quantitative modeling in relation to finance, capital markets, derivatives and investment portfolio modeling principles.

- Extensive experience in Python or other object-oriented language.

- Ability to clearly communicate modeling results to a wide range of audiences.

- Drive to develop and maintain high quality and transparent model documentation.

- Strong written and verbal communication skills.

- Strong presentation skills.

- Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring.

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date:

    • A Master's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience in quantitative analytics

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

  • At least 3 years of experience in each of the following skills through education or experience:

    • Statistical or econometric modeling

    • Linear and logistic regression

    • Programming in R, Python or SQL

    • Presenting statistical concepts and research results to non-statistical audience

  • At least 3 years of experience in at least 3 of the following skills:

    • Survival analysis modeling

    • Time-series analysis

    • Panel data (longitudinal data or cross-sectional time-series data) analysis

    • Cross-sectional data analysis

    • Machine learning

    • Analysis and management of large datasets (>1M records)

Preferred Qualifications:

  • 4 years of experience with Python, R or other statistical analyst software

  • 4 years of experience manipulating and analyzing large data sets

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $161,800 - $184,600 for Prin Assoc, Quant Analysis











Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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