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Quantitative Trading Jobs in Virginia (NOW HIRING)

Ventus Solutions

Quantitative Analyst SETA

Arlington, VA · On-site

$150 - $195/hr

Understanding of diverse data sources spanning global economics, financial networks, trade flows ... Experience in a high-paced private-sector quantitative production environment, such as systematic ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

... trade, counterparty, collateral, margin, and reference data used in risk analytics. • Design and execute model monitoring plans, produce performance monitoring reports, and respond to questions ...

Hyphen Connect Limited

$128K - $168K/yr

The ideal candidate will have a strong background in low-latency trading systems and experience supporting clients like quant funds and market makers in integrating with APIs (both REST and WebSocket)

Hyphen Connect Limited

$109K - $149K/yr

Collaborate with quantitative researchers and traders to implement new strategies. * Troubleshoot, test, and maintain high-performance trading applications. * Stay updated with the latest ...

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All JobsQuantitative Trading JobsQuantitative Trading Jobs in Virginia

Quantitative Trading information

See Virginia salary details

$97.2K

$168.3K

$257.3K

How much do quantitative trading jobs pay per year?

As of Aug 23, 2026, the average yearly pay for quantitative trading in Virginia is $168,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,300.00 and $197,300.00 per year, depending on experience, location, and employer.

What is quantitative trading?

Quantitative trading refers to the use of mathematical models, algorithms, and statistical techniques to identify and execute trading opportunities in financial markets. Quantitative traders, often called 'quants,' analyze large datasets to develop strategies that can be automated for buying and selling securities. This approach relies heavily on computer programming, data analysis, and financial theory to make systematic, data-driven trading decisions. Quantitative trading is commonly used by hedge funds, investment banks, and proprietary trading firms to gain an edge in the markets.

How does a quantitative trader typically collaborate with software engineers and data scientists within a trading firm?

Quantitative traders work closely with software engineers and data scientists to develop, test, and optimize trading algorithms. Traders often define the strategy and specify the data requirements, while engineers build and maintain the trading infrastructure, and data scientists assist with advanced statistical analysis and machine learning models. Effective communication and a collaborative approach are crucial, as these teams must integrate their expertise to ensure strategies are both profitable and technically robust. Regular meetings, code reviews, and joint problem-solving sessions are common practices in this collaborative environment.

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

To thrive as a Quantitative Trader, you need a strong background in mathematics, statistics, and financial theory, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Expertise in programming languages like Python, C++, and R, as well as familiarity with trading platforms and statistical analysis tools, is essential. Critical thinking, attention to detail, and the ability to work under pressure are standout soft skills in this role. These skills are crucial for developing, testing, and executing profitable trading strategies in fast-moving financial markets.

What is the difference between Quantitative Trading vs Quantitative Research?

AspectQuantitative TradingQuantitative Research
Primary FocusDeveloping and executing trading strategies to generate profitsCreating models and theories to understand markets and inform trading
Work EnvironmentFast-paced, real-time decision making in trading firms or hedge fundsResearch-oriented, often academic or laboratory setting
Required CredentialsStrong quantitative skills, programming, finance knowledge; often degrees in math, finance, or engineeringAdvanced degrees (Masters/PhD) in math, physics, or related fields; research experience

Quantitative Trading focuses on applying quantitative models to make trading decisions and generate profits in real-time markets. Quantitative Research emphasizes developing and testing models to understand market behavior, often serving as a foundation for trading strategies. While both roles require strong quantitative skills and programming, trading roles are more execution-focused, whereas research roles are more theoretical and exploratory.

How much do quantitative traders make?

Quantitative traders typically earn a base salary ranging from $100,000 to $200,000 annually, with total compensation often exceeding $300,000 when including bonuses and profit sharing. Compensation varies based on experience, firm size, and performance, with successful traders earning significantly more through performance-based incentives.

What do you do as a quantitative trader?

A quantitative trader develops and implements trading strategies using mathematical models, statistical analysis, and programming skills. They analyze large data sets to identify trading opportunities, often using tools like Python, R, or MATLAB, and work in fast-paced financial environments to execute trades based on algorithmic signals.

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

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

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

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

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

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

What cities in Virginia are hiring for Quantitative Trading jobs?

Cities in Virginia with the most Quantitative Trading job openings:

Quantitative Trading jobs near you
Infographic showing various Quantitative Trading job openings in Virginia as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $168,273 per year, or $80.9 per hour.

Quantitative Analyst SETA

Ventus Solutions

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Ventus Executive Solutions is a dynamic small business at the forefront of innovation and consulting. We believe our employees’ success is integral to our mission, which is why we prioritize work-life balance, personal development, and fostering a sense of belonging. In addition to providing opportunities to thrive, we offer competitive salaries and comprehensive benefits to attract and retain top talent ready to make a meaningful impact. As part of the Ventus Solutions team, you’ll collaborate with government and industry leaders to develop constructive architecture models that inform decision-making at the highest levels of the Department of Defense. As an Employee Stock Ownership Plan (ESOP) we value curiosity, collaboration, and excellence, and we’re committed to supporting your professional growth through mentorship, career development, and a culture of continuous learning. Join a team where your ideas matter, your expertise drives impact, and your work advances the mission. 

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 data streams into graph-based and network analytical frameworks supporting strategic competition analysis, industrial base resilience, and national security decision-making. The position provides an opportunity to work at the intersection of quantitative economic modeling, data science, network analytics, intelligence analysis, and emerging technology. Join our innovative team and contribute to impactful national security initiatives. 

Work Location: Onsite: Arlington, VA

Travel:  Up to 15% 

Clearance: U.S. Citizenship required, Active TS w/SCI eligibility Clearance required, Active SAP Clearance preferred.


Pre-Requisites: Experience working at TS/SCI and SAP levels.

Required Experience:

  • Master’s degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field.
  • 5+ years of relevant experience in quantitative economic modeling, advanced econometrics, and network data science/data engineering applied to complex adaptive systems.
  • Demonstrated experience with large-scale data processing, multi-source data pipeline integration, and structured/unstructured data architectures.
  • Practical experience with graph analytics, network modeling tools, and interconnected data architectures, including Python/R quantitative libraries, graph databases, or network science frameworks.
  • Strong background working within or alongside the U.S. Intelligence Community, including familiarity with IC mission environments, data workflows, and intelligence-derived datasets.
  • Understanding of diverse data sources spanning global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT sources.
  • Strong written and oral communication skills, including executive-level PowerPoint briefings, with the ability to translate complex econometric and data models for senior defense stakeholders.

Desired Experience: 

  • 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.
  • Prior experience supporting new program start-ups, pilot demonstrations, and transition pathways within defense or intelligence organizations.
  • Experience in a high-paced private-sector quantitative production environment, such as systematic investing or trading, real-time advertising technology development, or pharmacological optimization and customization.
  • Demonstrated ability to bridge communication and technical execution across academic economists, data engineers, software developers, and operational intelligence analysts.

The expected salary range for this position is $150,000 - $195,00. This range represents a good-faith estimate and is not a guarantee; final compensation is determined by factors such as experience, qualifications, and government contract labor rate requirements and may fall outside the stated range. In addition to base pay, Ventus offers a comprehensive benefits package that includes healthcare benefits (medical, dental, and vision), ESOP participation, retirement plans, and generous paid time off.