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Quantitative Engineer Jobs in Virginia (NOW HIRING)

Freddie Mac's Enterprise Risk Division is currently seeking a Quantitative Analytics Tech Lead to ... Programming languages may include-but are not limited to-Python, R, SQL and SAS. Proficiency in ...

Freddie Mac's Enterprise Risk Division is currently seeking a Quantitative Analytics Tech Lead to ... Programming languages may include-but are not limited to-Python, R, SQL and SAS. Proficiency in ...

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 ...

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

Implementation Engineers at Govini 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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Quantitative Engineer information

See Virginia salary details

$37.7K

$89.8K

$149.2K

How much do quantitative engineer jobs pay per year?

As of Jun 12, 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.

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

Quantitative engineers in finance, hedge funds, and proprietary trading firms can earn $500,000 or more annually, especially with bonuses and profit sharing. High-level roles often require advanced degrees, strong programming skills, and experience with financial modeling and algorithms.

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 do quantitative engineers do?

Quantitative engineers develop mathematical models and algorithms to analyze financial data, manage risk, and inform trading strategies. They often use programming languages like Python or C++ and work closely with traders and analysts in finance or technology firms. Strong skills in mathematics, statistics, and programming are essential for this role.

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

Quantitative engineers working in hedge funds, investment banks, or proprietary trading firms can earn $1,000,000 or more annually, especially with bonuses and profit-sharing. High-level roles often require advanced degrees, strong programming skills, and experience with financial modeling and risk management tools.

What engineers make $500,000?

Senior quantitative engineers, especially those working in finance, hedge funds, or investment banks, can earn $500,000 or more annually through base salary, bonuses, and profit sharing. High compensation often requires advanced skills in programming, mathematics, and financial modeling, along with extensive experience and a strong track record of performance.

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 job categories do people searching Quantitative Engineer jobs in Virginia look for? The top searched job categories for Quantitative Engineer jobs in Virginia are:
Data Scientist/ Quantitative Analytics

Data Scientist/ Quantitative Analytics

Pyramid Consulting, Inc.

Mclean, VA

$80 - $90/hr

Other

Medical, Dental, Vision, Retirement

Posted 10 days ago


Job description

Immediate need for a talented Data Scientist / Quantitative Analytics . This is a 03-06+ Months Contract to hire opportunity with long-term potential and is located in Mclean, VA (Onsite). Please review the job description below and contact me ASAP if you are interested.
Job Diva ID: 26-16986
Pay Range: $80 - $90 /hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Requirements and Technology Experience:

  • Must have skills: - Quantitative, Data Analytics, Developing models, Python
  • 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

Our client is a leading Financial industry , and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
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