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Quant Engineer Jobs (NOW HIRING)

CERES Group

Quant Engineer

Boston, MA · Hybrid

Quant Engineer to work in collaboration with the Research, Portfolio Management and Data teams to develop and implement new models, architect solutions and build powerful analytic tools. This is an ...

Samprasoft

Quant Engineer

Boston, MA

Quantitative Software Engineer We are looking for a quantitative software engineer with investment domain knowledge to join Fidelity's FAMS, Investment Tooling Development Team. With over $650 ...

Samprasoft

Quant Engineer

Jersey City, NJ · On-site

Quantitative Software Engineer We are looking for a quantitative software engineer with investment domain knowledge to join Fidelity's FAMS, Investment Tooling Development Team. With over $650 ...

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$38K

$90.5K

$150.5K

How much do quant engineer jobs pay per year?

As of Jun 2, 2026, the average yearly pay for quant engineer in the United States is $90,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $100,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

More about Quant Engineer jobs
What cities are hiring for Quant Engineer jobs? Cities with the most Quant Engineer job openings:
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What job categories do people searching Quant Engineer jobs look for? The top searched job categories for Quant Engineer jobs are:
Quant Engineer jobs near you
Infographic showing various Quant Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $90,538 per year, or $43.5 per hour.
Quant Engineer

Quant Engineer

CERES Group

Boston, MA • Hybrid

Other

Posted 9 days ago

Job description

Quant Engineer to work in collaboration with the Research, Portfolio Management and Data teams to develop and implement new models, architect solutions and build powerful analytic tools. This is an exceptional opportunity to help build out alpha, risk, transaction cost and portfolio analysis systems at the firm as part of an entrepreneurial team. The successful candidate will be integral to developing the platform and infrastructure for quantitative models used in our equity products. As a member of the investment team, this person will closely collaborate with PMs, quantitative researchers, and integration analysts.
Client supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.
What You'll Be Doing:

  • Develop, validate and enhance our proprietary forecast, risk, transaction cost and attribution models on our quantitative research and production infrastructure.
  • Implement, enhance and support our data platform and modeling infrastructure.
  • Work with quantitative portfolio managers to build tools and software libraries to advance analytics platforms using machine learning techniques.
  • Build systems to gather, cleanse and integrate data from various sources for research and modelling needs.
  • Familiarize yourself with our quant system design, architecture and tool chain, be able to trace/debug/enhance components of an investment system. Learn about Equity Alternatives investment processes and production job workflow.
  • Make significant contributions to investment strategies integration project. Help to enhance and optimize existing codebase to run more efficiently in AWS environments.
  • Support Equity Alternatives daily operations, client requests and ad hoc enhancements. Enhance object model framework and codebase.

We're Looking for Teammates With:
  • Master's degree with an outstanding academic record in a technical field such as science, engineering or mathematics, with 3+ years of experience as a developer for an investment firm; Bachelor's degree with 5+ years of experience. CFA charter is a plus.
  • Hands on development experience in Python (pandas, sklearn, statmodels, cvxopt, etc). Familiar with popular machine learning algorithms and packages. Good understanding of software system development life cycles.
  • Experience in using and building high performance compute, containers, pipelines/scheduling and their relevant tools
  • Familiar with financial data series, building and optimizing data structures and operating data delivery platforms.
  • Advanced analytic skills and the ability to clearly articulate the approach, process and results in verbal, graphical and written form.
  • Creativity, enthusiasm, collegiality and the ability to excel in a self-starting environment.
  • Strong work ethic and roll up your sleeves attitude to deliver projects under tight schedule.
Hybrid 3 DAYS ON SITE

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