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Quantitative Research Associate Jobs in Virginia

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Vice President for Research Department: Fralin Biomedical Res. Institute Location: Roanoke ... quantitative field. PhD must be awarded no more than four years prior to the effective date of ...

ARES Enterprise

Business Development Associate

Fairfax, VA · On-site

$45K - $62K/yr

Ares Enterprise is seeking candidates for a full-time Business Development Associate position that ... quantitative research and data gathering and identify key themes, trends, and opportunities from ...

Web Business Solutions

Research Analyst

Quantico, VA · On-site

$70 - $100/hr

Coordinate with deans, associate deans, student-support leaders, faculty, and MCU Institutional ... Experience designing, conducting, and analyzing quantitative and qualitative research. Clearance:

Web Business Solutions Inc

Research Analyst

Quantico, VA · On-site

$70 - $100/hr

Coordinate with deans, associate deans, student-support leaders, faculty, and MCU Institutional ... Experience designing, conducting, and analyzing quantitative and qualitative research.Clearance:

Toffler Associates

Strategy Consultant

Arlington, VA · Hybrid

Toffler Associates is a Washington, DC based future-focused strategic advisory firm that works with ... Integrating qualitative and quantitative research streams into the dynamic needs of client projects

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Quantitative Research Associate information

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$30.7K

$89.8K

$144.7K

How much do quantitative research associate jobs pay per year?

As of Sep 3, 2026, the average yearly pay for quantitative research associate 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 research associate?

Quantitative Research Associates are professionals who use advanced mathematical, statistical, and computational techniques to analyze data and solve complex problems, often in finance, economics, or scientific research. They typically work with large datasets to develop models, identify trends, and inform decision-making processes. Their work is crucial in areas such as investment banking, asset management, and risk analysis, where data-driven insights can lead to better strategies and outcomes.

What are the key skills and qualifications needed to thrive as a quantitative research associate?

To excel as a Quantitative Research Associate, you need strong quantitative analysis skills, experience with statistical modeling, and a relevant degree in mathematics, statistics, economics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with data analysis tools and financial databases are typically required. Exceptional problem-solving, attention to detail, and the ability to communicate complex findings clearly make candidates stand out. These skills are crucial for producing accurate research insights that drive effective decision-making and strategic planning.

What are the typical collaboration opportunities for a quantitative research associate within a financial institution?

Quantitative Research Associates frequently collaborate with portfolio managers, data scientists, and software engineers to develop and refine financial models and trading strategies. This cross-functional teamwork is essential for integrating new research insights into existing investment processes and ensuring that models are robust and actionable. Associates often participate in regular meetings to discuss research findings, share market insights, and troubleshoot model performance, fostering a dynamic and intellectually stimulating work environment. This collaborative structure also offers valuable exposure to different facets of the business, which can accelerate professional growth.

What is the difference between Quantitative Research Associate vs Quantitative Analyst?

AspectQuantitative Research AssociateQuantitative Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; often pursuing or holding a master'sBachelor's or master's degree in finance, mathematics, or related field; certifications like CFA are common
Work EnvironmentResearch-focused, often in finance or investment firms, supporting trading or investment strategiesData analysis and modeling in finance, risk management, or trading departments
Employer & Industry UsageUsed in asset management, hedge funds, and investment banksCommon in hedge funds, investment banks, and financial institutions

While both roles involve quantitative analysis, a Quantitative Research Associate primarily focuses on developing and testing investment strategies through research, whereas a Quantitative Analyst emphasizes building models and analyzing data to inform trading and risk decisions. The roles often overlap but differ in their core focus and daily tasks.

Is quantitative research a good career?

Quantitative research is a valuable career for those interested in data analysis, statistical modeling, and financial or market research. It often requires strong skills in mathematics, programming, and statistical software, and can offer opportunities in finance, consulting, and technology sectors with competitive salaries and growth potential.

What are the most commonly searched types of Quantitative Research jobs in Virginia?

The most popular types of Quantitative Research jobs in Virginia are:

What are popular job titles related to Quantitative Research Associate jobs in Virginia?

For Quantitative Research Associate jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Quantitative Research Associate jobs in Virginia look for?

The top searched job categories for Quantitative Research Associate jobs in Virginia are:

What cities in Virginia are hiring for Quantitative Research Associate jobs?

Cities in Virginia with the most Quantitative Research Associate job openings:

Quantitative Research Associate jobs near you
Infographic showing various Quantitative Research Associate job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $89,802 per year, or $43.2 per hour.

Postdoctoral Research Associate, AI Biosecurity Evaluation and Study Design

University of Virginia

Charlottesville, VA • On-site

$60K - $75K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 18 days ago

Key responsibilities

  • Lead the design, execution, and analysis of a paired human-subjects study linking AI biosecurity benchmark scores to real-world biological protocol tasks

  • Develop scoring rubrics and instruments for protocol-design, feasibility, and troubleshooting tasks

  • Build and run statistical analyses to estimate how benchmark scores predict real-world task performance and produce related reports

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

213th of 628 rated colleges and universities

Job description

About the School
The University of Virginia School of Data Science, the first of its kind in the nation, advances discovery, innovation, and societal impact through collaborative, open, and responsible data science research and education. Founded in 2019, the School brings together expertise across business, computation, engineering, humanities, law, mathematics, social sciences, and statistics to address complex, real-world challenges. Its academic offerings include a B.S. in Data Science, an undergraduate minor, residential and online M.S. in Data Science programs, and a Ph.D. in Data Science, all designed to prepare students for a rapidly evolving data-driven world.
About the Position
This position leads the design, execution, and analysis of a large paired human-subjects study that links AI biosecurity benchmark scores to performance on realistic biological protocol-design and troubleshooting tasks. The researcher reports to Associate Professor Stephen D. Turner and coordinates closely with co-investigators Tom Hartvigsen and Chirag Agarwal, and a laboratory partner. The role draws on study design, psychometric and statistical analysis, and management of participant data collection. The researcher will also contribute to a parallel machine unlearning effort, supporting measurement of how capability-mitigation methods affect both benchmark scores and real-world task performance.
Key Responsibilities
  • Lead day-to-day execution of the paired evaluation study, including benchmark administration, participant recruitment and scheduling, and coordination with the laboratory partner on protocol intake and outcome reporting

  • Develop scoring rubrics and instruments for protocol-design, feasibility, and troubleshooting tasks

  • Build and run mixed-effects and item-level analyses that estimate how benchmark scores predict real-world task performance, with quantified uncertainty

  • Produce the benchmark validity report and the benchmark-to-task crosswalk and calibration framework

  • Contribute to the machine unlearning and model editing components through safety-utility analyses, including within-subject comparisons of model variants on shared task batteries

  • Prepare manuscripts, preprints, and documentation for open release, and support IRB compliance and data quality

Minimum Qualifications
  • Doctoral degree (PhD or equivalent) in data science, statistics, biostatistics, psychometrics, quantitative psychology, a biological or biomedical science, or a related field, completed at the time of hire

  • Experience designing and analyzing human subjects studies, including power analysis and study design

  • Strong statistical programming in R or Python, including mixed-effects or hierarchical modeling

  • Working knowledge of molecular biology or microbiology sufficient to evaluate biological protocols and collaborate with laboratory scientists

Preferred Qualifications
  • Research experience in biosecurity, biodefense, or dual-use risk assessment

  • Familiarity with AI or large language model evaluation, benchmarking, or psychometric validation of model capabilities

  • Experience with machine learning tooling such as PyTorch or Hugging Face Transformers, and with model finetuning workflows

  • Prior work under IRB oversight and with controlled or sensitive data

  • Record of open-source software or reproducible-research practices

  • Experience coordinating academic-industry or multi-site research collaborations

Anticipated Salary: $60,000 - $75,000 per year
Anticipated Start Date: September 1, 2026
Health and Other Benefits
(visit Health and Other Benefits for additional information)
  • UVA Health Plan: the choice between 3 different health plans

  • Vision Coverage

  • Dental Plan

  • Benefit Savings Plans

  • Life Insurance

  • Disability Benefits

  • Paid Time Off: starting with 22 days of time off per year, 12 or more holidays, 8 weeks parental leave

Education Benefits (visit Education Benefits for additional information)
After six months of employment, full-time and part-time (20+ hours) employees in a benefits-eligible position are offered options of:
  • Use of up to $5250 per calendar year towards a for-credit degree program or for-credit certificate program

  • Use of up to $2000 of the total $5250 noted above per calendar year for professional development including job-related training, conferences, and initial certificate exams.

Position Details
This position will remain open until it is filled. This is a full-time in-person position at the School of Data Science at the University of Virginia in Charlottesville, VA. The initial appointment is for one year; however, the appointment may be renewed for an additional year contingent upon funding and satisfactory performance. This is an exempt level, term-limited (restricted), benefited position.
Anticipated Salary: $70,000
Anticipated Start Date: September 1, 2026
Application Process
Please apply online , and search for R0084977.
Complete an application online and attach:
Cover letter detailing your interest and relevant experience to this position Resume or CV Two letters of recommendation with contact information
Applications that do not contain all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website .
References will be completed via direct reach. Please plan to provide at least three references when applying.
A background check is required and will be conducted per university policy prior to the first day of employment.
For questions about the position , contact Associate Professor Stephen D. Turner at sdt5z@virginia.edu .
For questions about the application process, please contact Daniel Strong, Senior Human Resources Recruiter, at das6zb@virginia.edu .
For more information about UVA and the Charlottesville community, please see www.virginia.edu/life/charlottesville and https://embarkcva.com/ .
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities.
MINIMUM REQUIREMENTS
Education: Doctoral degree
Experience: None
Licensure: None
PHYSICAL DEMANDS
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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