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Quantitative Engineer Jobs in Virginia (NOW HIRING)

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 ...

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Stellent IT LLC

Machine Learning Engineer

Arlington, VA · On-site

$130K/yr

Position: Machine Learning Engineer Location: Arlington, VA Duration: FTE/No C2C Role: Design ... Masters in a quantitative field of study. Experience with the Azure, AWS, or other cloud ecosystems.

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 ...

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All JobsQuantitative Engineer JobsQuantitative Engineer Jobs in Virginia

Quantitative Engineer information

See Virginia salary details

$37.7K

$89.8K

$149.2K

How much do quantitative engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for quantitative engineer in Virginia is $89,762.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $99,100.00 per year, depending on experience, location, and employer.

What are Quantitative Engineers?

Quantitative Engineers, often called 'quants', are professionals who apply advanced mathematical, statistical, and programming skills to solve complex problems in finance, technology, or research. They develop models and algorithms to analyze data, assess risk, and inform decision-making, particularly in areas like trading, asset management, and financial engineering. Their work often involves programming in languages such as Python, C++, or R, and requires a strong background in mathematics and computer science. Quantitative Engineers play a crucial role in optimizing processes and strategies using quantitative methods.

How do Quantitative Engineers typically collaborate with traders and software developers in a financial firm?

Quantitative Engineers often work closely with traders to understand their strategies and translate them into mathematical models or algorithms. They also partner with software developers to ensure these models are efficiently implemented in trading platforms, balancing performance and accuracy. Regular communication and joint problem-solving are essential, as the role requires aligning complex quantitative methods with practical trading objectives and robust technical solutions.

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

To thrive as a Quantitative Engineer, you need a strong background in mathematics, statistics, and computer science, typically with a degree in a quantitative field such as math, physics, or engineering. Familiarity with programming languages like Python, C++, and tools such as MATLAB, as well as experience with data analysis frameworks, is essential. Exceptional problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly set top performers apart. These skills are crucial for developing robust quantitative models and algorithms that drive informed financial or technical decision-making.

What is the difference between Quantitative Engineer vs Quantitative Analyst?

AspectQuantitative EngineerQuantitative Analyst
CredentialsDegree in Math, Finance, or Engineering; often requires programming skillsDegree in Finance, Economics, or Math; strong analytical skills
Work EnvironmentDevelops models, writes code, collaborates with tech teamsAnalyzes data, creates reports, supports trading strategies
Industry UsageFinancial firms, hedge funds, investment banksAsset management, investment firms, banks

While both roles involve quantitative skills, Quantitative Engineers focus on developing and implementing models and algorithms, often requiring programming expertise. Quantitative Analysts primarily analyze data and support trading decisions. The roles are complementary but differ in technical depth and focus.

What are popular job titles related to Quantitative Engineer jobs in Virginia? For Quantitative Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Quantitative Engineer jobs in Virginia look for? The top searched job categories for Quantitative Engineer jobs in Virginia are:
Quantitative Engineer jobs near you
Infographic showing various Quantitative Engineer job openings in Virginia as of June 2026, with employment types broken down into 1% Internship, 75% Full Time, 5% Part Time, and 19% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $89,762 per year, or $43.2 per hour.
Data Scientist Sr /Quantitative Analytics Tech Lead

Data Scientist Sr /Quantitative Analytics Tech Lead

Technology Ventures

Mclean, VA • On-site

Other

Posted yesterday

Job description

Data Scientist Sr /Quantitative Analytics Tech Lead

Location : 5 days onsite / week McLean, VA

Duration : 6 months contract to Hire

Need local to DC metro area who can do onsite interview.

Must Have Qualifications: Experience with modelling- with at least 3-5 years of experience model testing and model development. Candidates must have a quantitative degree- master s degree required but Doctorate is preferred. The work focuses more on testing and documentation.
Interview Information: Rounds: 2 ROUNDS
Duration: 60 Minuetes|60 Minutes
Interview Type:1st round In Person |2nd round MS Teams - Video

Position Overview: Quantitative Analytics Tech Lead/Sr to join the Models & Analytics group to develop and enhance mortgage prepayment, default and severity models for portfolio management. The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products.
Qualifications:
Doctorate degree plus 3 years of working experience (or Master's degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field.
5+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets is preferred.
Post-graduate work experience in mortgage valuation and statistical modeling Programming skills in one or more of Python, R, SAS or related languages Exceptional quantitative, empirical analysis, and research skills
Experience working with large data sets and relational database
Experience in statistical model development and implementation is preferred Keys to Success in this Role:
Exceptional quantitative, empirical analysis, and research skills
Strong knowledge of survival analysis and mortgage valuation
Strong programming skills and knowledge in big data analytics such as Apache Spark and AWS cloud computing

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