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Senior Quantitative Analyst Jobs in Virginia (NOW HIRING)

Ventus Solutions

Quantitative Analyst SETA

Arlington, VA · On-site

$150 - $195/hr

Ventus Executive Solutions is seeking a skilled Quantitative Analyst SETA to support an innovative ... data models for senior defense stakeholders. Desired Experience: * Experience with defense ...

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Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

Freddie Mac's Investments & Capital Markets Division is seeking a Quantitative Analytics Senior to develop, implement, monitor, and execute quantitative models that support counterparty credit risk ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

Freddie Mac's Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

Freddie Mac's Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

Freddie Mac's Investments & Capital Markets Division is currently seeking a Quantitative Analytics Senior to be responsible for the creation, development, and execution of analytic models used to ...

Freddie Mac

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 ... Interacts with senior customer personnel on significant technical matters frequently requiring ...

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Senior Quantitative Analyst information

See Virginia salary details

$53K

$108.9K

$141.3K

How much do senior quantitative analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior quantitative analyst in Virginia is $108,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $135,800.00 per year, depending on experience, location, and employer.

What is a senior quantitative analyst?

Senior Quantitative Analysts are professionals who use advanced mathematical, statistical, and computational techniques to analyze financial data and develop quantitative models. They typically work in finance, investment banks, hedge funds, or risk management departments to help organizations make informed decisions, manage risk, or optimize investment strategies. Senior Quantitative Analysts often lead teams, oversee model development, and ensure the accuracy and robustness of analytical methodologies. Their work is critical in pricing securities, developing trading algorithms, and supporting data-driven decision making.

What are the key skills and qualifications needed to thrive as a senior quantitative analyst?

To thrive as a Senior Quantitative Analyst, you need advanced expertise in statistics, mathematics, financial modeling, and a relevant degree such as in mathematics, finance, or engineering. Proficiency in programming languages (such as Python, R, or MATLAB), data analysis platforms, and familiarity with risk modeling systems or financial databases is typically required. Exceptional analytical thinking, problem-solving abilities, and strong communication skills distinguish top performers in this field. These skills enable accurate quantitative research, effective risk assessment, and clear presentation of complex findings to support strategic decision-making.

What are some common challenges faced by senior quantitative analysts when working on cross-functional teams?

Senior Quantitative Analysts often collaborate with professionals from diverse backgrounds, such as software engineers, risk managers, and business strategists. A common challenge is effectively communicating complex quantitative findings to non-technical stakeholders and ensuring alignment on project goals. Adapting technical models to fit business constraints and integrating feedback from multiple departments also requires flexibility and strong interpersonal skills. Overcoming these challenges not only enhances project outcomes but also helps build valuable relationships across the organization.

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

AspectSenior Quantitative AnalystQuantitative Analyst
Required CredentialsBachelor's/Master's in Finance, Math, or related; often more experienceBachelor's or higher in similar fields
Work EnvironmentMore complex projects, mentorship roles, strategic decision-makingData analysis, model development, supporting senior staff
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management, trading firms

The main difference between a Senior Quantitative Analyst and a Quantitative Analyst lies in experience, project complexity, and responsibilities. Senior roles typically involve leading projects, mentoring juniors, and strategic input, while Quantitative Analysts focus on data analysis and model development under supervision.

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

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

What are popular job titles related to Senior Quantitative Analyst jobs in Virginia?

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

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

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

What cities in Virginia are hiring for Senior Quantitative Analyst jobs?

Cities in Virginia with the most Senior Quantitative Analyst job openings:

Senior Quantitative Analyst jobs near you
Infographic showing various Senior Quantitative Analyst job openings in Virginia as of August 2026, with employment types broken down into 81% Full Time, 14% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $108,904 per year, or $52.4 per hour.

Technical Quantitative Analyst

Systems Planning and Analysis

Arlington, VA • On-site

Full-time

Medical, Life, Retirement

Re-posted 11 days ago

Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
The Joint, Office of the Secretary of Defense, Interagency Division provides expert support services to a range of customers spanning across the Department of Defense, Federal Civilian, and international markets. JOID provides a diverse portfolio of analytical and programmatic capabilities to help our customers make informed decisions on their most challenging issues.
SPA provides critical decision support to enabling and executing a strategy of technological superiority and enabling the delivery and sustainment of secure, resilient, and preeminent capabilities to the warfighter quickly and cost effectively. Our team of experienced military, technical, and operations research analysts is skilled in evaluating military problems, identifying the driving factors, devising innovative approaches, collecting applicable data, developing necessary software tools, and performing thorough and timely assessments to inform technology and acquisition governance decisions to ensure U.S. military forces retain military superiority in the future.
We have an immediate need for a Quantitative Analyst SETA to provide onsite support out of Arlington, VA.
Responsibilities
The successful candidate will serve as a Quantitative Analyst SETA supporting DARPA program managers in the development, integration, and scaling of complex adaptive system modelling and data-intensive analytical capabilities. This role involves integrating complex, multi-source intelligence and commercial/open-source data streams into graph-based, network analytical frameworks to support strategic competition analysis, industrial base resilience, and national security decision-making. The candidate will serve as the primary technical liaison between academic researchers, software engineering teams, and IC stakeholders to ensure tools align with operational requirements. Will also advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy.
Qualifications
Required:
  • Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field
  • Active TS/SCI clearance
  • 5+ years of relevant experience in quantitative economic modeling, advanced econometrics, and network data science/data engineering applied to complex adaptive systems
  • Demonstrated experience in large-scale data processing, multi-source data pipeline integration, and managing structured/unstructured data architectures
  • Practical experience with graph analytics, network modeling tools, and interconnected data architectures (e.g., Python/R quantitative libraries, graph databases, or network science frameworks)
  • Strong background working within or alongside the U.S. Intelligence Community (IC), including familiarity with IC mission environments, data workflows, and intelligence-derived datasets
  • Understanding of diverse data sources across global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT sources
  • Able to work fully onsite based on client needs
  • Travel to support program operations up to 15% duty factor

Desired:
  • Strong communication skills-both written (including executive PowerPoint briefs) and oral-with the ability to translate complex econometric and data models for senior defense stakeholders
  • Experience with defense industrial base analysis, economic statecraft, strategic competition modeling, or macroeconomic resilience metrics
  • Hands-on experience building decision-support tools, AI/ML-enabled analytical tools, cloud data engineering workflows, or large language model (LLM) research pipelines
  • Experience in high paced private sector quantitative production environment such as systematic investing or trading, real time ad technology development or pharmacological optimization and customization

Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Virginia, Pay Transparency Salary range: USD $160,000.00/Yr. - USD $200,000.00/Yr.

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