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Quantitative Developer Jobs in Washington, DC (NOW HIRING)

Job Title: Quantitative Analyst Location: Onsite, Washington, DC (1100 15th Street NW) Schedule ... The ideal candidate has a strong background in capital markets products , advanced programming ...

Quantitative Analytics Senior

Mclean, VA ยท On-site

$126K - $190K/yr

Position Overview: Freddie Mac's Single Family Division is currently seeking an Quantitative ... Proficiency in one or more programming languages such as Python, R, C++, SQL, or SAS * Ability to ...

Quantitative Analytics Senior

Mclean, VA ยท On-site

$126K - $190K/yr

Position Overview: Freddie Mac's Single Family Division is currently seeking an Quantitative ... Proficiency in one or more programming languages such as Python, R, C++, SQL, or SAS * Ability to ...

Principal Quantitative Modeler

Mclean, VA

$55.25 - $71.75/hr

Principal Quantitative Modeler As a Quantitative Modeler at Capital One, you'll be part of a team ... Programming in R, Python or SQL * Presenting statistical concepts and research results to non ...

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Quantitative Developer information

See Washington, DC salary details

$111K

$192.2K

$293.9K

How much do quantitative developer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for quantitative developer in Washington, DC is $192,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,300.00 and $225,400.00 per year, depending on experience, location, and employer.

How does a quantitative developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What are the key skills and qualifications needed to thrive as a quantitative developer?

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What is a quantitative developer?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.
What are the most commonly searched types of Quantitative Developer jobs in Washington, DC? The most popular types of Quantitative Developer jobs in Washington, DC are:
What are popular job titles related to Quantitative Developer jobs in Washington, DC? For Quantitative Developer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Quantitative Developer jobs in Washington, DC look for? The top searched job categories for Quantitative Developer jobs in Washington, DC are:
Infographic showing various Quantitative Developer job openings in Washington, DC as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $192,234 per year, or $92.4 per hour.

Quantitative Analyst

Amicis Global

Washington, DC โ€ข On-site

Contractor

Re-posted 29 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.