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Quantitative Trader Jobs in Virginia (NOW HIRING)

Securiport LLC

Senior Data Scientist

Reston, VA · On-site

$120 - $180/hr

... quantitative analytics, applied statistics, or machine learning, including production experience ... Demonstrated ability to work with large transactional, logistics, financial, trade, or similarly ...

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 ...

ProspectBlue

Associate Portfolio Manager

Richmond, VA · On-site

$65K - $75K/yr

... trading, performance analysis, and client-focused investment strategy. Position Overview: The ... Conduct fundamental and quantitative investment research to evaluate securities, asset classes ...

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Quantitative Trader information

See Virginia salary details

$30.7K

$89.8K

$144.7K

How much do quantitative trader jobs pay per year?

As of Sep 6, 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.

Operations Analyst - Defense Analytics DARPA

Chimera Enterprises International

Arlington, VA • On-site

$113K - $134K/yr

Full-time

Re-posted 10 days ago

Job description

Job Summary
We are seeking Operations Research Analysts to provide quantitative decision support for a portfolio of defense research and development activities. These Key Personnel roles apply analytical methods and modeling to inform financial, operational, and transition-related decisions across the organization.
Key Responsibilities (Narrative)
As an Operations Research Analyst, you will use quantitative techniques to help leadership understand and manage complex programs. You will support analysis of budget plans, execution profiles, and trade-off scenarios, helping to illuminate the implications of different funding and scheduling options. You will work with financial and program management staff to develop data-driven insights that support planning, resource allocation, and execution monitoring.
You will also analyze operational and tasking data to understand workload, throughput, and performance. By developing metrics, visualizations, and decision-support tools, you will help leadership see where processes are working well and where adjustments may be needed. Your work will often involve pulling together information from multiple sources, structuring it for analysis, and presenting clear, actionable findings.
In support of acquisition and transition activities, you will examine lifecycle and performance data to identify trends and potential areas for improvement. You may help assess how programs progress from early research through transition, applying quantitative methods to evaluate options, risks, and likely outcomes. Throughout, you will collaborate closely with program managers, acquisition analysts, financial analysts, and other stakeholders to ensure that analytic products are aligned with real-world needs and are delivered in a format that supports effective decision-making.
Qualifications and Requirements
  • Education:
    • Bachelor's degree in engineering, science, mathematics, or a related technical field.
  • Experience:
    • At least 4 years of experience in operations research or a closely related analytical discipline supporting large organizations.
    • Experience gathering data and constructing mathematical or statistical models to describe systems and support decisions.
  • Security Clearance:
    • Active Top Secret (TS) clearance required.
  • Skills:
    • Strong quantitative and analytical skills, including statistics, modeling, and/or optimization.
    • Proficiency in Microsoft Excel and familiarity with one or more analytical tools (e.g., MATLAB, R, Python) is highly desirable.
    • Ability to translate complex analytic findings into clear, concise briefings and written products.
Preferred Qualifications
  • Experience supporting Department of Defense financial, acquisition, or R&D organizations.
  • Familiarity with defense planning, programming, budgeting, and execution (PPBE) processes and related data.

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