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Quantitative Trader Jobs in Virginia (NOW HIRING)

ECS

Quantitative Analyst SETA - STO

Arlington, VA · On-site

$150K - $195K/yr

Everforth ECS is seeking a Quantitative Analyst to work on-site in Arlington. VA. The successful ... Understanding of diverse data sources across global economics, financial networks, trade flows ...

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 ...

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All JobsQuantitative Trader JobsQuantitative Trader Jobs in Virginia

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 31, 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:

Quantitative Trader jobs near you
Infographic showing various Quantitative Trader job openings in Virginia as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $89,802 per year, or $43.2 per hour.

Quantitative Analyst SETA

Blue Sky Innovators

Arlington, VA

$195K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The successful candidate will support 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.

Requirements:

  • 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 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.
  • 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.
  • Top Secret clearance with SCI eligibility.

Preferred:

  • Active Special Access Program (SAP) access and experience working at TS/SCI and SAP levels.
  • 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 background supporting new program start-ups, pilot demonstrations, and transition pathways within defense or intelligence organizations.
  • Experience in high paced private sector quantitative production environments such as systematic investing or trading, real time ad 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.

Responsibilities:

  • Oversee the design, evaluation, and application of quantitative economic models, network analysis frameworks, and graph-based data integration architectures.
  • Oversee the integration of complex, multi-source intelligence and economic datasets into scalable, operational analytical pipelines.
  • Serve as primary technical liaison between academic researchers, software engineering teams, and IC stakeholders to ensure tools align with operational requirements.
  • Advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy.
  • Prepare technical documentation, program roadmaps, and executive briefs to communicate program progress and analytical findings to senior decision-makers.

The salary range for this position is $195,000-$300,000, per year. Specific compensation will be determined by several factors including experience, education, skills, and knowledge. We also offer medical/dental/vision benefits and 401k contribution.

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