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Quantitative Analyst Jobs in Washington, DC (NOW HIRING)

Quantitative Analyst Location: Onsite, Washington, DC (1100 15th Street NW) Schedule: Full-time, 40 hours per week (8 hours per day) Duration: 12-month contract (with possible extension) Senior ...

Quantitative Analyst SETA

Arlington, VA · On-site

$195K - $300K/yr

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The successful candidate will support DARPA program managers in the development, integration, and scaling ...

Quantitative Analyst SETA

Arlington, VA · On-site

$195K - $300K/yr

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The successful candidate will support DARPA program managers in the development, integration, and scaling ...

Quantitative Analyst SETA

Arlington, VA · On-site

$195K - $300K/yr

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The successful candidate will support DARPA program managers in the development, integration, and scaling ...

Ventus Executive Solutions is seeking a skilled Quantitative Analyst SETA to support an innovative program office. You will integrate complex, multi-source intelligence and commercial/open-source ...

Everforth ECS is seeking a Quantitative Analyst to work on-site in Arlington. VA. The successful candidate will serve as a Quantitative Analyst SETA supporting DARPA program managers in the ...

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Quantitative Analyst information

See Washington, DC salary details

$63.8K

$151.1K

$270.8K

How much do quantitative analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for quantitative analyst in Washington, DC is $151,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $164,200.00 per year, depending on experience, location, and employer.

What is a quantitative analyst?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

What does a quantitative analyst do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

What are the key skills and qualifications needed to thrive as a quantitative analyst, and why are they important?

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

How does a quantitative analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

What is the starting salary of a quantitative analyst?

The starting salary for a quantitative analyst typically ranges from $60,000 to $90,000 annually, depending on factors such as location, education, and industry. Entry-level roles often require strong skills in mathematics, programming, and data analysis tools like Python or R.

What are the most commonly searched types of Quantitative Analyst jobs in Washington, DC?

The most popular types of Quantitative Analyst jobs in Washington, DC are:

What job categories do people searching Quantitative Analyst jobs in Washington, DC look for?

The top searched job categories for Quantitative Analyst jobs in Washington, DC are:

Infographic showing various Quantitative Analyst job openings in Washington, DC 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 $151,060 per year, or $72.6 per hour.

Quantitative Analyst

Amicis Global

Washington, DC • On-site

Contractor

Re-posted 20 days ago


Job description

Job Title:  Quantitative Analyst
Location: Onsite, Washington, DC (1100 15th Street NW)
Schedule: Full-time, 40 hours per week (8 hours per day)
Duration: 12-month contract (with possible extension)
 

Senior Analyst – Financial and IT Modeling & Analytics

Position Overview:

We are seeking a highly skilled Quantitative Analyst and Tester to join the Financial and IT Modeling & Analytics team. This role will support capital markets trading and market risk management by translating business requirements into technical specifications and executing rigorous testing for statistical modeling and analytical applications.

The ideal candidate has a strong background in capital markets products, advanced programming expertise, and the ability to thrive in an Agile environment.

Key Responsibilities:
  • Translate complex business requirements from trading and market risk management into clear system specifications and testing needs.

  • Design, develop, and execute test cases for statistical modeling and analytical software applications.

  • Collaborate closely with quantitative engineers to investigate and resolve test case failures.

  • Track project progress and report updates using Agile methodologies and tools.

Required Skills & Experience:
  • 5+ years of professional experience in financial modeling, IT analytics, or quantitative testing.

  • Strong programming proficiency in Python.

  • Hands-on experience with C++.

  • Solid knowledge of capital markets products (trading, risk management, derivatives, etc.).

  • Ability to work effectively in a collaborative, Agile environment.