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Quant Engineer Jobs in Virginia (NOW HIRING)

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 ...

Cmu

Senior Cyber Risk Engineer

Arlington, VA · On-site

... engineering, economics and other technical fields in an interdisciplinary manner to help our ... In this role, you will work with our mission partners to identify areas where advanced quantitative ...

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.

Leidos

Senior Software Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

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

Hyphen Connect Limited

$128K - $168K/yr

Work with the Quant team to develop, test, and refine our various trading algorithms ... Minimum of 7 years of experience in software engineering, with at least 3 years focused on high ...

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

Understanding of quantitative/statistical/ML/AI modeling methodologies. * Experience in ML engineering, including hands-on experience with Generative AI/LLMs. * Experience with developing and ...

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All JobsQuant Engineer JobsQuant Engineer Jobs in Virginia

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 are popular job titles related to Quant Engineer jobs in Virginia? For Quant Engineer jobs in Virginia, the most frequently searched job titles are:
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:
Quant Engineer jobs near you
Senior Implementation Engineer

Senior Implementation Engineer

Air

Arlington, VA

Full-time

Posted 11 days ago

Job description

Company Description
Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.
Job Description
Air is looking for motivated, curious, and data-driven individuals to join our team as Senior Implementation Engineers. 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 responsible for developing new methodologies to answer client questions with Air's data, leveraging quantitative skills to configure Air's technology to achieve customer outcomes, communicate data-driven insights to executives in the national security community, and oversee cross-functional teams to produce compelling program insights, data visualization, and briefings.
In order to do this job well, you must be analytical, understand people, have a strong drive to use technology to solve the hardest problems, have business acumen, and want to learn everything, particularly about the most pressing national security challenges confronting the nation and how data and machine learning can help address them.
You understand the US Government and Defense acquisition processes and the importance of effective and efficient program management, supply chain risk management, and program and technology modernization. You ask hard, uncomfortable questions. You have a professional acumen that allows you to lead conversations with top government agency officials. You know there are always multiple answers to hard problems, and you know how to engage in a constructive dialogue to find the best path forward.
This role is a full-time position located out of our office in Arlington, VA.
This role requires 75% travel to client sites across the United States - CONUS and OCONUS
Scope of Responsibilities
  • Develop expertise in Air's clients, offerings and data, and support customers as a Air product and data expert
  • Execute the successful implementation of software and data to Air's customers and provide platform training
  • Use coding languages (SQL, Python) to conduct technical platform configuration and data integration
  • Build and manage client relationships
  • Lead execution teams and/or workstreams
  • Collaborate with Air Engagement Managers and Product Managers to capture market demand and user needs for inclusion into Air's offerings
  • Proactively drive utilization of the product using targeted training and engagement strategies that drive mission outcomes and analytical insights for platform users
  • Develop and maintain documentation such as tailored user guide reference materials
  • Conduct research and develop quantitative analytic reports using Air technology and data
  • Orally and visually present data-driven findings in a concise and compelling manner to internal teams, as well as government officials
  • Demonstrate knowledge in areas such as US Government programs and operations, federal acquisitions and program management, government procurement practices, supplier assurance, federal contracting, Planning, Programming, Budgeting, and Execution (PPBE), Supply Chain Risk Management, and Open Source Intelligence (OSINT) analysis.
Depending on your background and expertise, you could also be responsible for:
  • Provide technical workflow development and configuration
  • Communicate data-driven insights to executives in the national security space
  • Conduct in-depth quantitative and qualitative analyses on problems of importance to U.S. national security community using data visualization, compelling written paper and briefings
  • Provide product demonstrations in support of sales pursuits efforts
  • Mentor team members to increase skill and domain expertise
Qualifications
  • U.S. Citizenship is required
  • Bachelor's Degree in International Relations, Political Science, International Security, Business Administration, Business Analytics, Economics, Mathematics, Computer Science, Data Science or similar fields, or 3-7 years of equivalent experience
Required Skills:
  • Strong familiarity/skills with SQL, Python, and/or R. Familiarity with other skills such as Excel, React, Typescript, Java, C, GoLang.
  • 6-10 years experience performing national security-related analytics; preference for research, quantitative analysis, data manipulation, and data visualization skills
  • Knowledge of defense acquisition life cycle and program management, technology scouting, and supply chain risk management
  • History of engaging with and presenting to federal Government stakeholders
  • Excellent professional demeanor with a willingness to work outside of your comfort zone in a fast-paced environment without hesitation
  • Strong aptitude for solving open-ended issues in unpredictable, unstructured environments
  • Outstanding listening, verbal, and written communication skills
  • Ability to manage multiple work-streams and projects, learn quickly, and work independently with little supervision
Desired Skills:
  • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • Master's degree in International Relations, Political Science, International Security, Business Administration, Business Analytics, Economics, Mathematics, Computer Science, Data Science or similar fields
  • 3-7 years of experience in user support or user engagement with a focus on platform and product utilization
  • Experience with advisory services, software-as-a-service (SaaS), information services, analytic tools, or data analytics industries
  • Demonstrated ability to conduct relevant business case studies and market analysis using internal and open-source data sources
We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.
Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.