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Quant Engineer Jobs in Virginia (NOW HIRING)

Senior Software Engineer

King George, VA · On-site

$114K - $150K/yr

Job Title Senior Software Engineer Location King George, VA 22485 US (Primary) Category Engineering ... quantitative terms and able to translate complexity to approximate time and cost to maintain ...

BI Engineer

Reston, VA · On-site

$53 - $69/hr

Transforming data sets, quantitative and qualitative analysis into compelling visuals using ... Required Skills * 5+ years of experience working as a BI Engineer. * A degree from an accredited ...

Python developer

Mclean, VA · On-site

$51.50 - $71/hr

Python Developer Python programming experience Statistics, Economics, Business, Mathematics, Computer Science Strong quantitative, statistical analytical experience Required Skills : Basic ...

Big Data Engineer

Mclean, VA · On-site

$57.25 - $75.75/hr

Bachelor's degree in Computer Science, Statistics, Data science or a related quantitative field ... programming experience in Hadoop, Spark, Python for data processing and analysis. * Strong SQL ...

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Quant Engineer information

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 job categories do people searching Quant Engineer jobs in Virginia look for? The top searched job categories for Quant Engineer jobs in Virginia are:
What cities in Virginia are hiring for Quant Engineer jobs? Cities in Virginia with the most Quant Engineer job openings:
Quantitative Analytics Tech Lead - Economic Modeling

Quantitative Analytics Tech Lead - Economic Modeling

Freddie Mac

Mclean, VA

Full-time

Posted 25 days ago


Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview:

Freddie Mac's Investments & Capital Markets (I&CM) Division is seeking a Quantitative Analytics Tech Lead 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.

Our Impact:

The Modeling and Analytics group in Freddie Mac's Investments and Capital Markets division develops financial and statistical models that are used for valuation and risk analytics purposes.

Your Impact:

Freddie Mac's Investments & Capital Markets (I&CM) Division is seeking a Quantitative Analytics Tech Lead 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.

Our Impact:

The Modeling and Analytics group in Freddie Mac's Investments and Capital Markets division develops financial and statistical models that are used for valuation and risk analytics purposes.

Your Impact:

The successful candidate will contribute to the development of mortgage valuation model and conduct portfolio analysis to support trading and hedging activities.

Your Work Falls Into Four Primary Categories:

Model Development and Research

Developing mortgage prepayment, default and severity models that assess market risk of mortgages, mortgage backed securities, and senior-sub structured products

Applying statistical modeling and big data analytics tools and developing innovative solutions for forecasting mortgage borrower behavior

Conducting research on industry models, market conditions, and regulatory environment.

Portfolio Analysis

Developing and enhancing valuation processes and risk metrics for our retained portfolio of mortgage products.

Conducting sensitivity analysis and impact assessment for model updates and changes in model inputs.

Model Governance

Preparing model documentation and conducting thorough model validation tests.

Developing on-going performance monitoring and threshold methodology.

Business Support

Providing analytics support for trading and hedging activities.

Working under limited direction, independently determining and developing approach to solutions.

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

Top 3 Personal Competencies to Possess:

Drive for Execution - Execute effectively with a clear direction and objective, good ownership

Partnership - Build trust and strong partnerships within the team; good team player

Leadership - Set and execute upon a clear vision and goals; good communication, interpersonal, and leadership skills

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full timeFLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $144,000 - $216,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.Employment Type: FULL_TIME

Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970