1

Quant Trading Jobs in Virginia (NOW HIRING)

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

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 ...

Additional quantitative skills preferred * Must be a great teammate and able to work collaboratively * Comfortable working in a fast-paced trading floor environment * Attention to detail, exercise ...

Additional quantitative skills preferred * Must be a great teammate and able to work collaboratively * Comfortable working in a fast-paced trading floor environment * Attention to detail, exercise ...

Additional quantitative skills preferred * Must be a great teammate and able to work collaboratively * Comfortable working in a fast-paced trading floor environment * Attention to detail, exercise ...

Additional quantitative skills preferred * Must be a great teammate and able to work collaboratively * Comfortable working in a fast-paced trading floor environment * Attention to detail, exercise ...

Treasury Director

Richmond, VA ยท On-site

$180K - $190K/yr

... quantitative models that inform hedging, funding, and strategic decisions. Position ... Develop trading support within Treasury or at the business level * Deliver enterprise risk ...

Showing results 21-40

Quant Trading information

See Virginia salary details

$97.2K

$168.3K

$257.3K

How much do quant trading jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quant 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 are quant trading jobs?

Quant trading jobs involve developing and implementing mathematical models and algorithms to identify trading opportunities in financial markets. Professionals in these roles typically have strong skills in programming, statistics, and finance, and often use tools like Python, R, or MATLAB. These positions are common in hedge funds, investment banks, and proprietary trading firms, and often require a background in quantitative analysis or related fields.

How much do quant trading professionals make?

Quant trading professionals, such as quantitative analysts and traders, typically earn base salaries 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 senior roles and those at hedge funds or proprietary trading firms earning higher pay. Strong programming skills and advanced degrees in math, finance, or computer science are common requirements in this field.

What is a quant trading job?

A Quant Trading job involves using mathematical models, statistical techniques, and computer algorithms to analyze financial markets and make automated trading decisions. Quant traders develop and implement strategies to identify profitable opportunities, often leveraging historical data and predictive analytics. They work in hedge funds, proprietary trading firms, and investment banks, typically focusing on high-frequency trading, market-making, or statistical arbitrage. Strong programming skills (Python, C++, or R) and a deep understanding of financial markets are essential for success in this field.

What are the key skills and qualifications needed to thrive in quant trading?

To thrive in Quant Trading, you need a strong quantitative background, mathematical modeling expertise, and advanced programming skills, typically supported by degrees in mathematics, statistics, physics, or computer science. Proficiency in programming languages such as Python, C++, or R, and experience with financial modeling platforms and data analysis tools are essential. Excellent problem-solving skills, attention to detail, and the ability to work under pressure make candidates stand out in this fast-paced environment. These competencies are crucial for developing, testing, and implementing trading strategies that drive profitability and manage risk in dynamic financial markets.

What are some typical challenges faced in quant trading?

Quant trading professionals often deal with challenges such as rapidly changing market conditions, the need to process and analyze vast amounts of data quickly, and fierce competition from other trading firms. The role requires staying ahead by constantly researching and updating trading algorithms to maintain profitability. Effective communication with portfolio managers, developers, and risk managers is also key in adapting strategies and sharing insights. While the pace can be intense, successfully meeting these challenges is both rewarding and central to career progression in the field.

What are the most commonly searched types of Quant Trading jobs in Virginia? The most popular types of Quant Trading jobs in Virginia are:
Infographic showing various Quant Trading job openings in Virginia as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $168,273 per year, or $80.9 per hour.

Research Associate, Personnel Health Research & Data Analytics

Fors Marsh

Alexandria, VA โ€ข On-site

$70K - $80K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Research Associate: Personnel Health Research & Data Analytics, Military (Washington, D.C.)

WHO WE ARE: At Fors Marsh, we take on issues that matter. We are a team of researchers, strategists, and communicators working together to drive lasting change. We look at human behavior from all angles with a deep understanding of people and context to design solutions that influence decision-making and move people to action. Our work promotes health and well-being, shapes resilient communities, and builds effective and accountable institutions. We are a certified B Corporation and a Top Workplace for 7 consecutive years.

WHO WE ARE LOOKING FOR:

Fors Marsh is seeking an intelligent and motivated Researcher with a background in quantitative social science. This individual's primary responsibility would be to support a portfolio of quantitative social science and data science research projects for our Personnel Health Research & Data Analysis team. This individual would work in a researcher role, providing assistance on projects focused on improving service members' well-being, advancing data science insights, and inform policies and organizational decision making. This job is best for someone who enjoys applying innovative methods to solve challenging analytic problems, has experience working with large data sets, and thrives in a collaborative environment.

Responsibilities include:

  • Analytical and Technical Skills
    • Conducting exploratory data analysis, cleaning (e.g., data transformations), and analysis on large-scale data
    • Executing advanced statistical techniques such as multi-level modeling (e.g., cross-classified random effects, linear mixed effects), data reduction (e.g., PCA, factor analysis, clustering), predictive model selection (e.g., LASSO, Ridge), natural language processing, and/or machine learning techniques
    • Executing data visualization techniques and dashboard creation steps
    • Supporting all phases of the data science and social science analytics process, including the analysis and interpretation of survey research, integrating datasets (e.g., survey data integrated with administrative data), and other studies
    • Supporting and executing survey workflows focused on population specification and sample frame development, including identifying relevant data sources, cleaning, deduplication, and frame quality checks
    • Resolving problems that require general knowledge of analytic methodologies and principles, as well as the ability to learn new techniques
    • Communicating trade-offs associated with analytic approaches to technical and non-technical audiences.
    • Conducting quality checks on data extracts, analyses, and deliverables
    • Working in R and Python to execute automation tasks, R package creation, data wrangling, exploratory data analysis, and executing advanced analyses
    • Working in or learning Databricks
  • Team Orientation
    • Work under supervision of a Senior Team member
    • Work collaboratively with a mixed team of data and social scientists to operationalize personnel-related metrics and explore, aggregate, and analyze large, complex quantitative data sets through a variety of techniques.
  • Client and Stakeholder Interaction and Communication
    • Assist with briefing clients and stakeholders under supervision from Senior Team members
    • Assist in preparing research reports/briefs for technical and non-technical audiences, and other internal or external communications summarizing research methods, findings, and implications.

Qualifications:

  • Degree in a heavily quantitative social science (e.g., sociology, political science, psychology), data science, or related field ; Master's preferred
  • Master's degree with 2+ years of applicable industry experience; Bachelors degree with 4+ years of applicable industry experience
  • Experience conducting quantitative research, in particular leveraging advanced statistical modeling techniques
  • Working knowledge and experience of quantitative methodologies such as multi-level modeling, data reduction techniques, and natural language processing
  • Experience working with diverse data sources, including survey, personnel, and administrative data
  • Working knowledge of survey workflows supporting population definition, sample frame construction, and feature table creation to assist in survey package and tool development (R and Python)
  • Experience working in R/R Studio required
  • Experience with Databricks required
  • Experience with Python required
  • Experience with SQL preferred
  • Experience with Gitlab preferred
  • Strong verbal and written communications skills, including the ability to describe technical concepts and results to both technical and non-technical audiences
  • Strong problem solving skills and the ability to troubleshoot barriers as they arise
  • Ability to work effectively independently and as a team member
  • Applicants will be subject to a government security investigation and must meet eligibility criteria for access to sensitive information.
  • Ability to work on-site in the Washington D.C. area 2-3 days a week.
  • Must be a U.S. Citizen and consent to a full background check due to our federal contract requirements.

We Offer:

Our benefits typically meet or exceed our competitors' packages. What's in it for you?

Ability to make an impact on people's lives, both internal and external to the organization.

Top-tier health and dental covered at 100% for employee coverage.

Additional vision, and long and short-term disability options.

Our company culture, which values balance and allows each employee to take leave as they require it to balance the responsibilities of both their work and home lives without worrying about depleting their available leave hours.

A floating holiday bank so you can celebrate the days you value.

Generous matching retirement contributions and no vesting period starting the third month of employment.

Dedicated training and development budgets to expand your expertise and grow your skillset.

You can volunteer your way with paid time off.

You can participate in Fors Marsh staff-led affinity groups.

Our employees receive product and service discounts through the certified B Corp network.

Salary: $70,000-$80,000 annual

Internal Fors Marsh Career Map Title: Research Associate I (R3)

Location: Hybrid. Individuals are expected to go into a federal government building in Alexandria, VA and work on-site 2-3 days a week during business hours. #LI-Hybrid

Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.