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Quantitative Trader Jobs in Virginia (NOW HIRING)

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 ...

New

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 ...

$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)

$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 ...

... trade data into defensible, inspection-ready outputs and the reporting delivered to the customs administration. It is the pivotal quantitative role, and includes building the customs-revenue baseline ...

... trade data into defensible, inspection-ready outputs and the reporting delivered to the customs administration. It is the pivotal quantitative role, and includes building the customs-revenue baseline ...

... trade data into defensible, inspection-ready outputs and the reporting delivered to the customs administration. It is the pivotal quantitative role, and includes building the customs-revenue baseline ...

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Showing results 1-20

Quantitative Trader information

See Virginia salary details

$30.7K

$89.8K

$144.7K

How much do quantitative trader jobs pay per year?

As of Aug 20, 2026, the average yearly pay for quantitative trader in Virginia is $89,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,700.00 and $118,000.00 per year, depending on experience, location, and employer.

What is a quantitative trader?

A Quantitative Trader is a finance professional who uses mathematical models, statistical analysis, and algorithmic strategies to identify and execute trading opportunities. They work with large datasets to develop automated trading strategies that capitalize on market inefficiencies. Quantitative Traders often collaborate with developers and researchers to optimize their models and reduce risk. Positions are typically found at hedge funds, proprietary trading firms, and investment banks. Strong programming, analytical, and risk management skills are essential for success in this role.

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

To thrive as a Quantitative Trader, you need strong mathematical, analytical, and programming skills, typically supported by a degree in mathematics, finance, engineering, or computer science. Expertise with statistical software, programming languages such as Python or C++, and familiarity with automated trading systems or financial modeling tools is highly valuable. Exceptional problem-solving ability, attention to detail, and quick decision-making are crucial soft skills in this fast-paced role. These competencies enable traders to develop data-driven strategies, manage risk effectively, and adapt rapidly to market changes for consistent profitability.

What are some common challenges quantitative traders face in their day-to-day work?

Quantitative Traders often encounter rapidly changing market conditions that require swift analytical decisions and the ability to adjust strategies on short notice. They work with large sets of financial data, which demands both technical expertise to interpret trends and creativity to develop effective trading algorithms. Collaboration with developers, researchers, and other traders is frequent to refine models and address technological or strategic challenges. Adapting to evolving regulatory requirements and managing risk exposure are also key parts of the role. Successfully navigating these challenges is essential for maximizing trading performance and maintaining a competitive edge.

What does a quantitative trader do?

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 and often use tools like Python, R, or MATLAB to automate trades and manage risk in financial markets.

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

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

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

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

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

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

What cities in Virginia are hiring for Quantitative Trader jobs?

Cities in Virginia with the most Quantitative Trader job openings:

Infographic showing various Quantitative Trader 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 $89,802 per year, or $43.2 per hour.

Quantitative Analyst SETA

Ventus Solutions

Arlington, VA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired today.ย 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.