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Quantitative Science Jobs in Virginia (NOW HIRING)

Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field. * 5+ years of relevant experience in quantitative economic modeling, advanced econometrics ...

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... Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience in quantitative analytics + A PhD in a quantitative field (Statistics, Economics ...

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Coursework or work experience applying finance, statistics, mathematics, data science, and computer programming techniques to quantitative modeling problems in the financial industry. * Relevant ...

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Quantitative Science information

What is a quantitative science?

A Quantitative Science job involves applying mathematical, statistical, and computational techniques to analyze data and solve complex problems. Professionals in this field work across industries such as finance, healthcare, technology, and research, using models and algorithms to derive insights and make data-driven decisions. They often work with large datasets, employing machine learning, statistical modeling, and data visualization to interpret results. Strong analytical skills and proficiency in programming languages like Python, R, or SQL are commonly required.

What are some typical projects or tasks a quantitative science professional might work on?

A Quantitative Science professional often works on projects such as developing predictive models, designing experiments or surveys, analyzing large datasets, and reporting findings to stakeholders. You might collaborate closely with data engineers, business analysts, and subject matter experts to translate complex data insights into actionable recommendations. It's common to use statistical software and programming languages daily, and project work can range from short-term analyses to long-term research initiatives. The role offers a stimulating mix of independent analytical work and cross-functional teamwork, with opportunities to contribute to strategic decisions within an organization.

What are the key skills and qualifications needed to thrive in the quantitative science position, and why are they important?

To thrive in a Quantitative Science role, you need a strong background in mathematics, statistics, and data analysis, typically supported by an advanced degree in a quantitative discipline. Familiarity with programming languages such as Python or R, statistical modeling software, and experience with data visualization tools are highly valued. Problem-solving, critical thinking, and the ability to communicate complex findings clearly are important soft skills for success. These abilities are essential for accurately interpreting data, informing business or research decisions, and collaborating effectively with multidisciplinary teams.

What does a quantitative science do?

A professional in quantitative science analyzes numerical data to solve complex problems, often using statistical, mathematical, and computational methods. They work in fields like finance, research, or technology, utilizing tools such as programming languages and data analysis software to develop models and inform decision-making.
Infographic showing various Quantitative Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

$80 - $120/hr

Other

Posted 3 days ago

New


Job description

Apply deep knowledge of statistical data science fundamentals and solid quantitative and analytical skills in working with complex data sets, conducting multiple regression analysis, and leveraging other statistical tools like R, SQL, Tableau, Excel, etc. Job Duties:
  • Process various clients' financial data sets using advanced statistical, quantitative, econometric techniques and create statistical financial data reports using analytical or scientific software, such as Python, MATLAB, R, VBA, Excel, and PowerPoint.
  • Improve efficiency of the financial models and valuation codes by using deep learning and optimization skills, such as parallel computing.
  • Research and acquire additional sources of financial data, including web scraping to help researchers and financial industry experts with insightful information.
  • Create visualizations, such as heatmaps or dashboards that are interactive, intuitive, and informative.
  • Apply mathematical or statistical techniques to assist testifying experts/consultants with the preparation of financial data summary reports or customized data queries.
  • Provide financial data support to our Financial Economists as they serve as expert witnesses before courts and arbitration panels during securities litigations and disputes.
Requirements:

Master's Degree in Data Science, Machine Learning, Statistics, or another quantitative science related field.

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