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Remote Graduate Quantitative Analyst Jobs in Reston, VA

Senior Financial Analyst

Tysons, VA ยท Remote

$100K - $110K/yr

Remote Schedule: Monday-Friday | EST business hours Compensation: $100,000 - $110,000 / Annually ... Strong quantitative, analytical, and critical thinking skills * Ability to manage multiple ...

Senior Economist (REMOTE/Reston, VA/Waltham, MA)

Reston, VA ยท On-site +1

$95K - $121K/yr

You will lead research and quantitative analyses in support of policy decisions. Your duties may ... The preferred candidate will have a PhD graduate degree and demonstrated experience conducting ...

Senior Data Analyst

Washington, DC ยท Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is ... quantitative analysis and application of advanced statistical techniques * 5+ years of data ...

Senior Data Analyst

Washington, DC ยท Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is ... quantitative analysis and application of advanced statistical techniques * 5+ years of data ...

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Remote Graduate Quantitative Analyst information

See Reston, VA salary details

$58.8K

$139.3K

$249.7K

How much do remote graduate quantitative analyst jobs pay per year?

As of Jun 23, 2026, the average yearly pay for remote graduate quantitative analyst in Reston, VA is $139,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $151,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Graduate Quantitative Analyst, and why are they important?

To thrive as a Remote Graduate Quantitative Analyst, you need a solid background in mathematics, statistics, and data analysis, typically supported by a quantitative degree. Proficiency with statistical software such as Python, R, and SQL, as well as familiarity with data visualization tools, is commonly required. Strong problem-solving skills, attention to detail, and effective remote communication set standout candidates apart. These skills ensure accurate data-driven insights and seamless collaboration within distributed teams, which are essential for delivering actionable business results.

What is the difference between Remote Graduate Quantitative Analyst vs Remote Data Analyst?

AspectRemote Graduate Quantitative AnalystRemote Data Analyst
Required CredentialsDegree in Mathematics, Statistics, or Finance; often entry-levelDegree in Data Science, Statistics, or related; entry-level to mid-level
Work EnvironmentFinancial firms, hedge funds, investment banksVarious industries including tech, marketing, finance
Employer & Industry UsageFinancial institutions, asset managementBroad industry use, including tech and consulting
Common Search & ComparisonYesYes

The Remote Graduate Quantitative Analyst and Remote Data Analyst roles share similar educational backgrounds and work environments, especially in finance and data-driven industries. However, quantitative analysts focus more on financial modeling and risk assessment, while data analysts handle broader data interpretation across various sectors.

What are Remote Graduate Quantitative Analysts?

Remote Graduate Quantitative Analysts are entry-level professionals who use mathematical, statistical, and computational techniques to analyze data and solve problems for businesses or financial institutions, working entirely from a remote location. They typically have a recent degree in fields like mathematics, statistics, finance, engineering, or related disciplines. Their work may involve building quantitative models, conducting risk analysis, and interpreting large datasets to provide actionable insights. The remote aspect allows them to collaborate with teams and clients from anywhere, often using specialized software and online communication tools.

What are some common challenges faced by remote graduate quantitative analysts, and how can they be addressed?

As a remote graduate quantitative analyst, one of the main challenges is effective communication and collaboration with team members, especially when working across different time zones. To overcome this, it's important to proactively schedule regular virtual meetings and use collaborative platforms to stay connected. Additionally, managing your own time and staying motivated without in-person supervision can be difficult, so setting a structured daily routine and clear goals is essential. Seeking feedback regularly and participating in online team discussions can also help you stay engaged and contribute effectively.
What are popular job titles related to Remote Graduate Quantitative Analyst jobs in Reston, VA? For Remote Graduate Quantitative Analyst jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Graduate Quantitative Analyst jobs in Reston, VA look for? The top searched job categories for Remote Graduate Quantitative Analyst jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Graduate Quantitative Analyst jobs? Cities near Reston, VA with the most Remote Graduate Quantitative Analyst job openings:
Infographic showing various Remote Graduate Quantitative Analyst job openings in Reston, VA as of June 2026, with employment types broken down into 2% Locum Tenens, 75% Full Time, 10% Part Time, 2% Temporary, 10% Contract, and 1% Nights. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $139,280 per year, or $67 per hour.
Quantitative Research Analyst, Education & Employment (Remote Eligible)

Quantitative Research Analyst, Education & Employment (Remote Eligible)

Mathematica

Washington, DC โ€ข Remote

Other

Posted 11 days ago


Job description

We are seeking a ResearchAnalyst to join our Education and Employment team. Research analysts contributeto quantitative and qualitative research and analysis that examines theeffectiveness and implementation of policies and programs. Analysts help assessthe strength of study designs, summarize existing research through literaturereviews, evidence reviews, systematic reviews, and meta-analyses, support thedesign and implementation of evaluations, and help disseminate findings throughaccessible reports, briefs, presentations, websites, and other tools.

This is a general analystposting, and analysts may support a range of project activities. We areespecially interested in candidates with strong quantitative skills who canwork with survey, administrative, or program data; support data cleaning andanalytic specification development; conduct descriptive and impact analysesusing appropriate statistical methods and communicate quantitative findingsclearly to technical and non-technical audiences.

Analysts typically work on morethan one project at a time and are matched to projects that suit theirinterests and skills and offer opportunities for professional growth. Analystswork under the guidance of researchers, statisticians, data scientists, andproject leaders while building expertise in new methods and topic areas.

Our current and recent work includes projectssuch as:

  • Helping states, school districts, workforce agencies, and other organizations build capacity to use data and strengthen supports for students, educators, job seekers, workers, and families.
  • Working collaboratively with human services, education, and workforce agencies to test implementation strategies and gather information on their success, using approaches such as rapid cycle evaluation and continuous improvement.
  • Conducting systematic reviews, evidence reviews, and meta-analyses to determine what works and assess the effectiveness of interventions, programs, policies, and practices in education, employment, training, family support, and related policy areas.
  • Supporting rigorous evaluations of programs and policies through study design, study recruitment, data collection, data quality assessment, analysis planning, and dissemination of actionable findings.
  • Developing analytic products, technical assistance resources, dashboards, reports, and briefs that help clients and partners interpret evidence and use data for program improvement and policy decisions.

Responsibilities:

Quantitative analysis and programming

  • Assist with quantitative analyses, including summarizing data quality issues, cleaning and preparing survey or administrative data, defining analysis specifications, and developing output formats.
  • Write, review, or modify code to conduct data extraction, cleaning, manipulation, descriptive analyses, table production, and data visualization.
  • Apply or support statistical and quantitative methods appropriate to the project, such as descriptive statistics, regression, weighting, power calculations, performance measurement, longitudinal analysis, or quasi-experimental methods, under the guidance of senior staff.
  • Develop specifications, user manuals, reproducible documentation, and other materials for reporting systems, dashboards, analytic tools, and programming workflows.

Research and evaluation

  • Participate in interviews, site visits, focus groups, surveys, or other data collection activities to assess implementation, outcomes, costs, and participant experiences in education, employment, and related social programs.
  • Conduct literature reviews, environmental scans, evidence reviews, and systematic reviews; apply evidence standards to assess study quality and synthesize findings.
  • Support the design and implementation of evaluations, including helping to develop evaluation plans, logic models, research questions, study protocols, instruments, and data collection procedures.
  • Provide technical assistance to grantees, state and local agencies, school districts, workforce organizations, and other partners to support evaluation, evidence building, and program improvement.

Communication and project support

  • Draft client memos, issue briefs, literature review summaries, technical appendices, chapters of analytic reports, presentations, and proposals for new projects.
  • Communicate analytic findings, data limitations, and methodological decisions to internal project teams, clients, policymakers, practitioners, and other stakeholders.
  • Assist with timeline management, cost tracking, meeting preparation, note taking, budget estimates, quality assurance reviews, and coordination across project teams.