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Entry Level Quantitative Finance Jobs in Virginia

Entry-Level Analyst U.S. citizenship required. Are you a critical thinker with acumen for problem ... quantitative science or business disciplines (Economics, Math, Statistics, Finance, Business ...

Prepare in-depth reports providing plans of action based on qualitative and quantitative research ... * Entry level to intermediate knowledge and understanding of financial statements and ability to ...

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 ...

Lab Assistant I

Chantilly, VA · On-site

$14.71/hr

Clinical Laboratory - Serology IFA Entry level role; Performs various routine laboratory functions ... FinFit financial coaching and services * 401(k) pre-tax and/or Roth IRA with company match up to 5% ...

Entry Level Quantitative Finance information

See Virginia salary details

$30.7K

$89.8K

$144.7K

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

As of Aug 8, 2026, the average yearly pay for entry level quantitative finance 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 are the key skills and qualifications needed to thrive as an entry level quantitative finance professional, and why are they important?

To thrive as an Entry Level Quantitative Finance professional, you need strong quantitative analysis skills, proficiency in mathematics and statistics, and typically a degree in math, finance, economics, engineering, or a related field. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with financial databases and risk management systems, is highly valued. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills enable individuals to analyze complex financial data, develop models, and support sound investment and risk management decisions.

What is the difference between Entry Level Quantitative Finance vs Entry Level Quantitative Analyst?

AspectEntry Level Quantitative FinanceEntry Level Quantitative Analyst
Required CredentialsBachelor's in Math, Finance, or related field; some roles prefer internshipsBachelor's in Math, Finance, or related field; often includes internships or relevant coursework
Work EnvironmentFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Employer & Industry UsageCommonly used in finance industry for entry rolesOften used interchangeably with quantitative finance roles in finance sector

Entry Level Quantitative Finance and Entry Level Quantitative Analyst roles are similar, often requiring comparable educational backgrounds and working in similar financial environments. Both positions focus on data analysis, modeling, and supporting investment decisions, making them closely aligned in the finance industry.

What are some common challenges faced by entry level professionals in quantitative finance, and how can they be addressed?

Entry-level professionals in quantitative finance often face challenges such as adapting to fast-paced, data-driven environments and quickly mastering complex financial models and programming languages. It's common to feel overwhelmed by the steep learning curve, especially when working with large datasets or developing algorithmic trading strategies. To address these challenges, new hires should proactively seek mentorship, participate in ongoing training, and collaborate closely with senior team members. Emphasizing continuous learning and open communication can help bridge knowledge gaps and foster a supportive team culture.

What is an entry level quantitative finance job?

An entry level quantitative finance job typically involves using mathematical models, statistical analysis, and programming to analyze financial data and support decision-making in areas like risk management, asset pricing, or trading. People in these roles often work at investment banks, hedge funds, or financial technology firms. Common titles include quantitative analyst (or 'quant'), research analyst, or risk analyst. These positions generally require strong analytical skills, proficiency in programming languages like Python, R, or MATLAB, and a background in mathematics, statistics, engineering, or physics.

How to start a career in entry level quantitative finance?

To start a career in entry level quantitative finance, candidates should develop strong skills in mathematics, programming (such as Python or R), and finance concepts. Earning a relevant degree like mathematics, finance, or computer science, gaining experience through internships, and obtaining certifications such as the CFA can improve job prospects. Familiarity with data analysis tools and a solid understanding of financial markets are also beneficial.
What are the most commonly searched types of Quantitative Finance jobs in Virginia? The most popular types of Quantitative Finance jobs in Virginia are:
What are popular job titles related to Entry Level Quantitative Finance jobs in Virginia? For Entry Level Quantitative Finance jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Entry Level Quantitative Finance jobs? Cities in Virginia with the most Entry Level Quantitative Finance job openings:
Infographic showing various Entry Level Quantitative Finance job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $89,802 per year, or $43.2 per hour.

Entry-Level Analyst

Augur Consulting

Arlington, VA • On-site

Full-time

Re-posted 16 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.