ZipRecruiter

Log In

2

Entry Level Quantitative Researcher Jobs in Virginia

Augur Consulting

Entry-Level Analyst

Arlington, VA · On-site

If you like problem solving, working in a dynamic team environment, and quantitative analysis, this ... Analysts collaborate with cross functional experts and conduct research to gather inputs, perform ...

Western Alliance Bank

Senior Credit Analyst

Reston, VA · On-site

$36.74 - $45.38/hr

Prepare in-depth reports providing plans of action based on qualitative and quantitative research ... Bachelor's degree or equivalent experience required. * Entry level to intermediate knowledge of ...

BBG, INC.

Commercial Real Estate Analyst

Richmond, VA · Remote

Description This entry-level Analyst opportunity offers on-the-job learning and, an education on ... Strong quantitative skills with experience building real estate valuation models * Excellent ...

IBM

Federal Consulting Intern 2027

Herndon, VA · On-site

$15.50 - $20.50/hr

Immersing yourself in primary research and collaborate with dynamic teams assisting clients in ... Demonstrate foundational quantitative analysis skills and ability to develop data driven ...

next page

Showing results 1-20

All JobsQuantitative Researcher JobsEntry Level Quantitative Researcher JobsEntry Level Quantitative Researcher Jobs in Virginia

Entry Level Quantitative Researcher information

See Virginia salary details

$52K

$118.1K

$194.8K

How much do entry level quantitative researcher jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level quantitative researcher in Virginia is $118,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $151,200.00 per year, depending on experience, location, and employer.

What is an entry level quantitative researcher?

An Entry Level Quantitative Researcher applies mathematical, statistical, and programming skills to analyze financial data and develop models for trading or investment strategies. They work with large datasets, conduct statistical analysis, and collaborate with traders and senior researchers to optimize decision-making. This role typically requires proficiency in programming languages like Python, R, or C++, as well as a strong foundation in probability, statistics, and machine learning. It serves as a starting point for a career in quantitative finance, often within hedge funds, proprietary trading firms, or financial institutions.

What are the key skills and qualifications needed to thrive as an entry level quantitative researcher?

To thrive as an Entry Level Quantitative Researcher, you need strong analytical and mathematical skills, a degree in a quantitative field such as statistics, mathematics, engineering, or a related discipline, and proficiency in data analysis. Familiarity with statistical programming languages like Python, R, or MATLAB, as well as experience with data visualization tools and SQL databases, are commonly expected. Attention to detail, effective problem-solving abilities, and strong communication skills help you interpret findings and work effectively with team members. These capabilities are essential for making accurate data-driven decisions and contributing valuable insights to research projects.

What does an entry level quantitative researcher do?

A typical day for an Entry Level Quantitative Researcher often involves collecting and cleaning data, running statistical analyses, and preparing reports or presentations to communicate findings. You will frequently work alongside senior researchers, data scientists, and business analysts to tackle complex research questions, provide quantitative insights, and support ongoing projects. Collaboration through team meetings and code reviews is common, helping you learn from experienced colleagues and refine your analytical approach. Over time, this collaborative environment offers valuable opportunities for professional development and skill advancement within the organization.

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

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

What are popular job titles related to Entry Level Quantitative Researcher jobs in Virginia?

For Entry Level Quantitative Researcher jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Entry Level Quantitative Researcher jobs in Virginia look for?

The top searched job categories for Entry Level Quantitative Researcher jobs in Virginia are:

What cities in Virginia are hiring for Entry Level Quantitative Researcher jobs?

Cities in Virginia with the most Entry Level Quantitative Researcher job openings:

Entry Level Quantitative Researcher jobs near you
Infographic showing various Entry Level Quantitative Researcher 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 74% Physical, 6% Hybrid, and 20% Remote job distribution, with an average salary of $118,143 per year, or $56.8 per hour.

Entry-Level Analyst

Augur Consulting

Arlington, VA • On-site

Full-time

Re-posted 24 days ago

Job description

Entry-Level Analyst
U.S. citizenship required.
Are you a critical thinker with acumen for problem solving? Would you like to help the government tackle some of its most challenging cost, schedule, and performance issues? Then we want to talk with you. Here at Augur, we believe in creating a fun and challenging environment that embraces team spirit while fostering high-performance.
Augur is a small business, and every employee has a direct impact on the success of the company. New hires receive intensive training and are quickly put into a position to provide unique and meaningful contributions. Analysts work in a collaborative and cross-functional environment, interfacing with subject matter experts, gaining exposure to a wide variety of analytical disciplines, and learning consulting best practices.
We are looking for motivated and analytically oriented recent graduates who are ready to start their career next door to our nation's capital. If you like problem solving, working in a dynamic team environment, and quantitative analysis, this may be the opportunity for you.
Augur Consulting, Inc. is an Equal Opportunity Employer
Responsibilities:
Our analysts work closely with government program offices in the acquisition of cutting edge defense technologies and energy projects. Analysts collaborate with cross functional experts and conduct research to gather inputs, perform analysis, develop models, compile and interpret results, and defend findings.
Cost Analysis responsibilities include: Development and maintenance of complex cost models, life cycle cost analysis, cost risk analysis, and cost performance tracking. Special projects include analysis of alternatives (AoA), business case/cost-benefit analysis, regression analysis, and cost excursions as needed by customers.
Schedule Analysis responsibilities include: Critical path analysis, schedule variance analysis, integrated master schedule development and tracking, vendor performance analysis and tracking, schedule risk analysis and ad-hoc problem solving.
Performance Management responsibilities include: Performing baseline events, audits, surveillance, and analysis/management of vendor performance, ensuring that program baselines are executable and measurable, conducting/leading/training the government on how to perform a proper baseline event, and other ad hoc methods to evaluate vendor performance and ensure tax dollars are executed efficiently.
Data Analytics & Visualization responsibilities include: Using PowerBI, Tableau, R, JACS, PO$T, CO$TAT, or LITUUS to develop dashboards, assessments, analyses reports, etc. to enable program managers to make informed decisions surrounding cost, schedule, vendor performance and other ad-hoc decision support.
Education:
A Bachelor's degree is required, with a preference for quantitative science or business disciplines (Economics, Math, Statistics, Finance, Business, Physics, Engineering, etc.)
Requirements:
Candidates must be proficient in quantitative analysis, project management concepts, and data collection and interpretation. Strong problem solving, critical thinking, teamwork, communication, and presentation skills are necessary. Applicants should be proficient in MS Office (Word, PowerPoint, and Excel). Experience with MS Project, analytical software tools, and programing languages such as R, Python, and VBA is helpful but not required.
Must be able to obtain and maintain the necessary levels of security clearance.
U.S. citizenship required.

Apply