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Quants Analyst Jobs in Virginia (NOW HIRING)

Ventus Executive Solutions is seeking a skilled Quantitative Analyst SETA to support an innovative program office. You will integrate complex, multi-source intelligence and commercial/open-source ...

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

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Quants Analyst information

See Virginia salary details

$35.2K

$98.3K

$125.9K

How much do quants analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for quants analyst in Virginia is $98,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,400.00 and $125,400.00 per year, depending on experience, location, and employer.

What is the difference between Quants Analyst vs Data Analyst?

AspectQuants AnalystData Analyst
Required CredentialsDegree in Mathematics, Statistics, or Finance; often requires advanced degreesBachelor's in Data Science, Statistics, or related field; sometimes certifications
Work EnvironmentFinancial firms, hedge funds, investment banksVarious industries including finance, marketing, healthcare
Employer & Industry UsagePrimarily finance and trading firmsBroadly used across multiple sectors
Common Search & Comparison IntentUnderstanding technical skills and financial modelingFocus on data analysis tools and business insights

While both Quants Analysts and Data Analysts work with data, Quants Analysts focus on financial modeling and quantitative strategies within finance firms, often requiring advanced degrees. Data Analysts have a broader role across industries, emphasizing data interpretation and reporting using various tools. The key difference lies in their industry focus and technical expertise.

Are quants analysts still in demand?

Quantitative analysts, or quants, remain in demand in finance and investment firms due to their expertise in mathematical modeling, programming, and data analysis. They are valued for developing trading algorithms, risk management models, and financial strategies, often requiring skills in programming languages like Python or R and advanced degrees in quantitative fields.

Do you need a PhD to be a quant analyst?

A PhD is not strictly required to become a quantitative analyst, but many quants hold advanced degrees in fields like mathematics, physics, or finance. Employers often value strong quantitative skills, programming ability, and experience with tools such as Python, R, or MATLAB over formal education level. Entry-level roles may require a bachelor's degree, while more senior positions may prefer or require a master's or PhD.

What exactly does a quants analyst do?

A quants analyst uses mathematical models and statistical techniques to analyze financial data and develop trading strategies. They often work with programming languages like Python or R and tools such as Excel or MATLAB to identify market opportunities and manage risk. Their work supports investment decisions and requires strong quantitative skills and understanding of financial markets.

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

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

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

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

What cities in Virginia are hiring for Quants Analyst jobs?

Cities in Virginia with the most Quants Analyst job openings:

Infographic showing various Quants 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 $98,307 per year, or $47.3 per hour.

Technical Quantitative Analyst

Arlington, VA • On-site

Systems Planning and Analysis
Guided Missile and Space Vehicle Manufacturing • 1 - 5K employees

Full-time

Medical, Life, Retirement

Re-posted 15 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.