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Quantitative Trading Jobs in Virginia (NOW HIRING)

Securiport LLC

Senior Data Scientist

Reston, VA · On-site

... 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 ...

ECS

Technical Program Manager SETA - STO

Arlington, VA · On-site

$150K - $195K/yr

The successful candidate will serve as a Quantitative Analyst SETA supporting DARPA program ... Understanding of diverse data sources across global economics, financial networks, trade flows ...

Hyphen Connect Limited

Monitor on-chain and off-chain trading activity to detect, investigate, and prevent market abuse ... quantitative field.

Capital One

Product Manager - Trade Credit

Mclean, VA

Product Manager - Trade Credit Manager, Product Management Product Management at Capital One is a ... A Bachelor's or Master's Degree in a quantitative field (Statistics, Economics, Operations Research ...

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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.

SETA - Complex Adaptive Systems with Security Clearance

Oak Leaf Solutions

Arlington, VA • On-site

$99K - $134K/yr

Other

Posted 9 days ago

Job description

Complex Adaptive Systems: Clearance: TS with SCI eligibility. Active SAP eligibility preferred.
Location: Arlington, VA
Salary: Based on experience The successful candidate will serve as a Quantitative Analyst SETA supporting a government 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 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 environment 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 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

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