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Senior Quantitative Researcher Jobs in Virginia (NOW HIRING)

Accenture Federal Services

UX Researcher

Arlington, VA · On-site

We're reinventing a large enterprise data platform, and we need a senior researcher who can close ... Turn qualitative and quantitative findings into insights that shape design, content, and customer ...

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Senior Quantitative Researcher information

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$126.9K

How much do senior quantitative researcher jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior quantitative researcher in Virginia is $99,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $102,100.00 per year, depending on experience, location, and employer.

What is a senior quantitative researcher?

A Senior Quantitative Researcher is an expert who uses advanced mathematical, statistical, and computational techniques to analyze data and develop models, often in finance, technology, or scientific research. They lead research projects, create complex algorithms, and provide actionable insights from large datasets. Senior Quantitative Researchers also mentor junior team members, contribute to strategic decision-making, and help organizations gain a competitive edge through data-driven solutions.

What are some common challenges faced by senior quantitative researchers in collaborative projects with portfolio managers and engineers?

Senior Quantitative Researchers often encounter challenges when translating complex mathematical models into actionable strategies that can be implemented by portfolio managers and engineers. Effective communication is crucial, as technical concepts must be clearly explained to non-technical stakeholders. Additionally, balancing the need for rigorous, data-driven analysis with practical constraints such as computational resources and real-time market conditions can be demanding. Successful collaboration requires adaptability, proactive problem-solving, and a willingness to iterate on models based on feedback from cross-functional teams.

What are the key skills and qualifications needed to thrive as a senior quantitative researcher, and why are they important?

To thrive as a Senior Quantitative Researcher, you need advanced expertise in mathematics, statistics, and quantitative modeling, typically supported by a graduate degree in a quantitative field such as mathematics, physics, or engineering. Proficiency with programming languages like Python, R, or C++, data analysis tools, and experience with statistical software or high-performance computing platforms is crucial. Exceptional problem-solving ability, strong communication skills, and the capacity to work both independently and collaboratively distinguish top performers in this role. These skills and qualities are vital for developing robust quantitative models, delivering actionable insights, and driving data-driven decision-making within competitive research environments.

What is the difference between Senior Quantitative Researcher vs Quantitative Analyst?

AspectSenior Quantitative ResearcherQuantitative Analyst
Required CredentialsMaster's or PhD in Finance, Mathematics, or related field; strong programming skillsBachelor's or Master's in related fields; programming skills preferred
Work EnvironmentResearch-focused, often in finance, hedge funds, or asset management firmsData analysis, model development, often in finance or investment firms
Employer & Industry UsageUsed in hedge funds, asset managers, financial institutionsCommon in investment banks, asset management, financial services

The main difference is that Senior Quantitative Researchers typically lead complex research projects, develop new models, and have more advanced credentials, while Quantitative Analysts focus on data analysis, model implementation, and supporting trading strategies. Senior Quantitative Researchers often have more experience and responsibilities in research innovation.

What are the most commonly searched types of Quantitative Researcher jobs in Virginia?

The most popular types of Quantitative Researcher jobs in Virginia are:

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For Senior Quantitative Researcher jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Senior Quantitative Researcher jobs in Virginia look for?

The top searched job categories for Senior Quantitative Researcher jobs in Virginia are:

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Senior Quantitative Researcher jobs near you
Infographic showing various Senior Quantitative Researcher job openings in Virginia as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $99,268 per year, or $47.7 per hour.

Senior Manager, Quantitative Analysis - Model Risk Office

Hobbsnews

Mclean, VA • On-site

$229.90 - $262.40/hr

Other

Posted 18 days ago

Key responsibilities

  • Partner with model development and model risk teams to assess and improve models related to Loan Loss Forecasting and Allowance for Credit Losses.

  • Develop and implement alternative model approaches, address technical issues in econometric, statistical, and machine learning modeling, and maintain model accuracy and documentation.

  • Communicate complex technical concepts clearly to non‑specialist audiences and senior management.

Job description

Senior Manager, Quantitative Analysis – Model Risk Office

At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally tailoring every credit card offer using statistical modeling and relational databases, cutting‑edge technology in 1988. That innovation and our passion for data has propelled us to a Fortune 200 company and a leader in data‑driven decision making.

As the Quantitative Senior Manager, you will be part of a team leading the next wave of disruption at a whole new scale, using the latest cloud computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help everyday people save money, time, and financial pain.

In the Model Risk function, you will partner with high‑performing model development and model risk teams that advance Capital One’s Loan Loss Forecasting and Allowance for Credit Losses (ACL) framework.

Responsibilities and Skills
  • Remain at the leading edge of analytical technology with a passion for innovative tools.
  • Develop alternative model approaches to assess model design and advance future capabilities.
  • Understand relevant business processes and portfolios associated with model use.
  • Address technical issues in econometric, statistical, and machine learning modeling and apply these skills to develop models and assess model risks and opportunities.
  • Communicate technical subject matter clearly and concisely to individuals from varied backgrounds, both verbally and in written communication; prepare presentations of complex technical concepts for non‑specialist audiences and senior management.
  • Maintain the efficiency and accuracy of models through continuous improvement and best‑practice application.
  • Develop and maintain high‑quality, transparent documentation.
  • Leverage open‑source technologies and tools to identify opportunities in the existing framework.
Basic Qualifications
  • Currently holds or is in the process of obtaining one of the following:
    • 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 5 years of quantitative analytics experience.
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of quantitative analytics experience.
  • At least 5 years of experience in each of the following areas:
    • Statistical or econometric modeling
    • Linear and logistic regression
    • Programming in R, Python, or SQL
    • Presenting statistical concepts and research results to non‑statistical audiences
  • At least 5 years of experience in at least 3 of the following areas:
    • Survival analysis modeling
    • Time‑series analysis
    • Panel data (longitudinal or cross‑sectional time‑series) analysis
    • Cross‑sectional data analysis
    • Machine learning
    • Analysis and management of large datasets (over 1 million records)
Preferred Qualifications
  • 6 years of experience with Python, R, or other statistical software.
  • 6 years of experience in statistical modeling, regression analytics, or machine learning.
  • 2 years of experience managing people.
Additional Information

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

Competitive salary ranges vary by location. Example: McLean, VA – $229,900 to $262,400 for Sr Mgr, Quantitative Analysis.

Bonus and incentive compensation may be available, and Capital One offers a comprehensive set of health, financial, and other benefits that support overall well‑being.

Capital One is an equal‑opportunity employer, committed to non‑discrimination in compliance with applicable federal, state, and local laws. The company promotes a drug‑free workplace and will consider qualified applicants with a criminal history in a manner consistent with applicable laws.

If you need reasonable accommodations, please contact Capital One Recruiting at 1‑800‑304‑9102 or email RecruitingAccommodation@capitalone.com. All information you provide will remain confidential and will be used only as required to provide accommodations.

For technical support or questions about Capital One’s recruiting process, please contact Careers@capitalone.com.

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