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Quantitative Engineer Jobs in Virginia (NOW HIRING)

Jobtailor

Senior Software Engineer

Alexandria, VA · On-site

$180 - $240/hr

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Software Development, Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social ...

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 · 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 · 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

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 ...

Venturegloballng

Engineer, Machine Learning

Arlington, VA · On-site

$157K - $185K/yr

Engineer, Machine Learning Located: Arlington Summary The Machine Learning Engineer will design ... Masters in a quantitative field of study. * Experience with the Azure, AWS, or other cloud ...

Leidos

Senior AI Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.

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Showing results 21-40

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 Aug 13, 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 is a quantitative engineer?

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 August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $89,762 per year, or $43.2 per hour.

Senior Software Engineer

Jobtailor

Alexandria, VA • On-site

$180 - $240/hr

Other

Posted 7 days ago

Job description

  • Support the development of distributed backend services, APIs, and platform microservices supporting enterprise AI operations.
  • Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
  • Apply cutting‑edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
  • Contribute to the integration of software development, AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast‑paced, engineering‑centric environment.
Requirements
  • Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Software Development, Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.).
  • 12+ years of experience in software engineering, data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions and demonstrating progressive technical development and outcomes. (4+ years with a Master’s).
  • Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
  • Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user‑friendly analytical platforms.
  • Experience with Backend microservices, Distributed systems, API development, Event‑driven architectures, Kubernetes‑native application development, Cloud‑native engineering.
  • Familiarity with Rust, Go, Python, TypeScript, Django.
Core Competencies

Demonstrates expertise in developing distributed backend services, APIs, and microservices for enterprise AI operations, with a strong foundation in statistical analysis and predictive analytics. Proven ability to collaborate with multidisciplinary teams to deliver innovative analytical platforms in a fast‑paced environment.

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