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Quantitative Trading Jobs in Virginia (NOW HIRING)

Jobtailor

Trading Analyst

Alexandria, VA · On-site

Design and implement quantitative modeling frameworks to enhance decision-making * Collaborate with exchange trading team members to improve strategies, optimize trading processes, and develop new ...

Tios Capital

Trading Analyst

Alexandria, VA · On-site

You will collaborate with team members to enhance existing trading strategies and spearhead quantitative modeling projects. This is a hybrid trader/data science position. Success in this role ...

Tios Capital

Trading Analyst

Alexandria, VA · On-site

You will collaborate with team members to enhance existing trading strategies and spearhead quantitative modeling projects. This is a hybrid trader/data science position. Success in this role ...

Tios Capital

Trading Analyst

Alexandria, VA · Hybrid

You will collaborate with team members to enhance existing trading strategies and spearhead quantitative modeling projects. This is a hybrid trader/data science position. Success in this role ...

Tios Capital, LLC

Trading Analyst

Alexandria, VA · On-site

You will collaborate with team members to enhance existing trading strategies and spearhead quantitative modeling projects. This is a hybrid trader/data science position. Success in this role ...

Tios-Capital

Trading Analyst

Alexandria, VA · On-site

You will collaborate with team members to enhance existing trading strategies and spearhead quantitative modeling projects. This is a hybrid trader/data science position. Success in this role ...

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All JobsQuantitative Trading JobsQuantitative Trading Jobs in Virginia

Quantitative Trading information

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$97.2K

$168.3K

$257.3K

How much do quantitative trading jobs pay per year?

As of Sep 15, 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 September 2026, with employment types broken down into 1% Internship, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 71% Physical, 5% Hybrid, and 24% Remote job distribution, with an average salary of $168,273 per year, or $80.9 per hour.

Trading Analyst

Alexandria, VA • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 11 days ago

Job description

  • Execute daily trading of exchange-based power contracts on the Intercontinental Exchange (ICE) using established guidelines and strategies
  • Serve as a primary trader on the ICE terminal, buying and selling power contracts within approved risk limits and strategic frameworks
  • Monitor market trends and power grid fundamentals to provide actionable insights
  • Develop and maintain custom SQL queries for data analysis
  • Design and implement quantitative modeling frameworks to enhance decision-making
  • Collaborate with exchange trading team members to improve strategies, optimize trading processes, and develop new strategies
  • Collaborate with software engineering to create production-grade systems supporting trading efforts
  • Maintain clear verbal and written communication across teams
  • Provide reliable coverage of trading duties during active exchange hours

Demonstrates expertise in executing trading strategies on the Intercontinental Exchange (ICE) while utilizing advanced data analysis and statistical modeling techniques. Proficient in collaborating with cross-functional teams to optimize trading processes and enhance decision-making through quantitative frameworks.

Requirements
  • Proficiency in Excel
  • Proficiency in R and SQL
  • Working knowledge of statistical modeling methods, including Linear Regression and Tree-Based Models
  • Experience with data visualization tools such as Grafana, Tableau, or PowerBI is highly preferred
  • Comfort with numerical analysis and high-stakes risk/reward decision-making
  • Collaborative, resilient, competitive, and curious mindset
  • Ability to work reliably during active exchange hours
  • Ability to work 9 AM–6 PM Eastern typical hours
  • Ability to work in the Alexandria, Virginia office on Tuesdays, Wednesdays, and Thursdays
Core Competencies

Demonstrates expertise in executing trading strategies on the Intercontinental Exchange (ICE) while utilizing advanced data analysis and statistical modeling techniques. Proficient in collaborating with cross-functional teams to optimize trading processes and enhance decision‑making through quantitative frameworks.

Highest-signal resume keywords
  • Trading On Intercontinental Exchange (ICE)
  • SQL Proficiency
  • Statistical Modeling Methods
  • Data Visualization Tools
  • Excel Proficiency
Hard Skills
  • SQL
  • R
  • Statistical Modeling
  • Linear Regression
  • Tree-Based Models
  • Data Analysis
  • Quantitative Modeling
  • Numerical Analysis
  • Trading Strategies
  • Market Trend Monitoring
Soft Skills
  • Collaborative Mindset
  • Resilience
  • Competitiveness
  • Curiosity
  • Clear Communication
Industry Keywords
  • Power Contracts
  • Exchange Trading
  • Risk Management
  • Trading Processes
  • Market Fundamentals
Tools & Technologies
  • Excel
  • Grafana
  • Tableau
  • PowerBI
  • ICE Terminal
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