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Quantitative Engineer Jobs (NOW HIRING)

Socket.dev

Quantitative Engineer

San Francisco, CA · On-site

As a Quantitative Engineer, you will work directly with the founders to build the trading and backtesting systems that power Conviction. You'll develop quantitative strategies, work with large ...

Vise

Quantitative Engineer

New York, NY · On-site

$190K - $270K/yr

Vise is seeking a passionate Quantitative Engineer to join our talented engineering team. As we build the future of wealth management, you will partner closely with our investment strategy and core ...

Hobbsnews

Sr. Quantitative Engineer

Chicago, IL · On-site

Senior Quantitative engineers work with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Senior Quantitative ...

Vise

Quantitative Engineer

New York, NY · On-site

$190K - $270K/yr

Vise is seeking a passionate Quantitative Engineer to join our talented engineering team. As we build the future of wealth management, you will partner closely with our investment strategy and core ...

Bank of America

Sr. Quantitative Engineer

Chicago, IL · On-site

Senior Quantitative engineers work with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Senior Quantitative ...

National Black MBA Association

Senior Quantitative engineers work with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Senior Quantitative ...

Hobbsnews

Senior Quantitative engineers work with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Senior Quantitative ...

Optiver

Quantitative Engineer - Credit

New York, NY · On-site

$200K/yr

Optiver is seeking a Quantitative Engineer specializing in the US corporate bond and credit derivative markets to join the greenfield buildout of our systematic credit trading business. Our ...

Bank of America

Sr. Quantitative Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior Quantitative engineers work with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Senior Quantitative ...

Bank of America

Sr. Quantitative Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior Quantitative engineers work with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Senior Quantitative ...

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Quantitative Engineer information

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$38K

$90.5K

$150.5K

How much do quantitative engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for quantitative 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 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.

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.

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 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 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.
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What are popular job titles related to Quantitative Engineer jobs?

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Quantitative Engineer jobs near you
Infographic showing various Quantitative Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $90,538 per year, or $43.5 per hour.

Quantitative Engineer

San Francisco, CA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Posted 4 days ago

Job description

As a Quantitative Engineer, you will work directly with the founders to build the trading and backtesting systems that power Conviction. You’ll develop quantitative strategies, work with large financial datasets, and turn trading ideas that can be tested and deployed in production.

What You’ll Do
  • Execution & Trading Systems – Develop trade-generation and execution logic, with a focus on low-latency systems
  • Backtesting – Build and improve backtesting systems that measure historical strategy performance
  • Strategy Development – Build multi-agent systems that translate trading ideas into deployed, production-ready strategies
  • Quantitative Research – Research, develop, and evaluate systematic trading strategies across equities, options, futures, and other financial markets
  • Market Data – Work with large historical and real-time financial datasets, including prices, fundamentals, news, and alternative data
Qualifications & Experience
  • Strong Python and quantitative programming skills
  • Experience building or researching systematic trading strategies
  • Strong understanding of statistics, probability, and quantitative methods
  • Experience working with large financial or time-series datasets
  • Experience designing and evaluating backtests
  • Understanding of common sources of backtest error, including look-ahead bias, survivorship bias, overfitting, transaction costs, and data leakage
  • Understanding of financial markets, order types, market structure, and trade execution
  • Experience with data analysis libraries and quantitative research tooling
Preferred Qualifications

We’re especially interested in people who have worked in quantitative finance, trading, machine learning, or financial markets. Previous experience at a hedge fund, proprietary trading firm, asset manager, fintech company, market data provider, or quantitative research group is a plus.

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