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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 ...

PNC Bank

Quant Analyst/Model Analyst

Tysons Corner, VA · On-site

$90K - $150K/yr

Conducts on-going communication with model owners and model developers during the course of the review. Works with large data to create models. * Performs quantitative analysis and develops reports.

Freddie Mac

Quantitative Analytics Professional

Mclean, VA · On-site

$105K - $157K/yr

We are the owners and developers of all major Multifamily credit, market risk and business decision models/tools. Our goal is to develop and apply all quantitative models and advanced data science ...

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 ...

Air

Implementation Engineer

Arlington, VA

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 ...

Air

Implementation Engineer

Arlington, VA

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

$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 ...

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 ...

Air

Senior Implementation Engineer

Arlington, VA · On-site

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 ...

Air

Senior Implementation Engineer

Arlington, VA · On-site

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 ...

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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 Jul 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 engineer makes $500,000 a year?

Quantitative engineers, or quants, working in finance or hedge funds with extensive experience, advanced degrees, and strong programming skills can earn $500,000 or more annually through base salary, bonuses, and profit sharing. Such compensation typically requires expertise in mathematics, programming languages like Python or C++, and a deep understanding of financial markets. These roles are often located in major financial hubs and demand high levels of performance and specialization.

How much do quants get paid?

Quantitative analysts, or quants, typically earn between $100,000 and $200,000 annually at entry to mid-level positions, with senior roles often exceeding $300,000 including bonuses. Compensation varies based on experience, location, firm size, and performance, with many quants also receiving performance-based bonuses and benefits. Strong skills in mathematics, programming, and finance are essential for higher salaries in this field.

What engineers make $300,000 a year?

Senior quantitative engineers, often called quant researchers or quant developers, can earn $300,000 or more annually, especially with experience, advanced degrees, and expertise in programming languages like Python or C++, as well as knowledge of financial markets and risk management. Compensation typically includes base salary, bonuses, and profit sharing, particularly in hedge funds, investment banks, and proprietary trading firms.

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 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.

Do I need a PhD to be a quant?

A PhD is not strictly required to become a quantitative engineer, but many roles prefer candidates with advanced degrees in fields like mathematics, physics, or engineering. Strong programming skills, proficiency in tools like Python or C++, and solid quantitative knowledge are essential for success in the field.

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 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.