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Quant Engineer Jobs in Washington, DC (NOW HIRING)

Amicis Global

Quantitative Analyst

Washington, DC · On-site

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 ...

Air

Implementation Engineer

Arlington, VA · On-site

Implementation Engineers at Air have a quantitative mindset and firm understanding of how to use technology and data to solve hard customer problems. Implementation Engineers are responsible for ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · 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 ...

Air

Senior Implementation Engineer

Arlington, VA

Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to use technology and data to solve hard customer problems. Senior Implementation Engineers are ...

Cmu

Senior Cybersecurity Engineer

Arlington, VA

... engineering, economics and other technical fields in an interdisciplinary manner to help our ... In this role, you will work with our mission partners to identify areas where advanced quantitative ...

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All JobsQuant Engineer JobsQuant Engineer Jobs in Washington, DC

Quant Engineer information

See Washington, DC salary details

$43K

$102.5K

$170.5K

How much do quant engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for quant engineer in Washington, DC is $102,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $113,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What do quant engineers do?

Quant engineers develop and implement mathematical models and algorithms to analyze financial data and support trading strategies. They often use programming languages like Python or C++ and work closely with traders and analysts in a fast-paced environment to optimize investment decisions.

What jobs pay 500,000 a year in the US?

Quant engineers in finance and hedge funds are among the roles that can earn $500,000 or more annually, especially with bonuses and profit sharing. High-level positions often require advanced degrees, strong quantitative skills, and experience with programming languages like Python or C++, as well as a deep understanding of financial markets and risk management.

What are Quant Engineers?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

What jobs make $1,000,000 a year?

Quant engineers in finance and hedge fund managers are among the roles that can earn $1,000,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. High-level positions in investment banking, private equity, and executive roles in large corporations can also reach this income level, especially with extensive experience, advanced skills, and performance-based incentives.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

How do Quant Engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

What engineers make $500,000?

Senior quantitative engineers, especially those working in hedge funds, investment banks, or proprietary trading firms, can earn $500,000 or more annually. High compensation often includes base salary, bonuses, and profit sharing, and typically requires advanced skills in mathematics, programming, and financial modeling. Experience, performance, and the ability to develop profitable trading algorithms are key factors for reaching this level.
What are popular job titles related to Quant Engineer jobs in Washington, DC? For Quant Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Quant Engineer jobs in Washington, DC look for? The top searched job categories for Quant Engineer jobs in Washington, DC are:
Quant Engineer jobs near you

Quantitative Analyst

Amicis Global

Washington, DC • On-site

Contractor

Posted 12 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.