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Quantitative Software Engineer Jobs (NOW HIRING)

Edgestream

Quantitative Software Engineer

Princeton, NJ · On-site

Within this group, our Quantitative Software Engineers have primary responsibility for the quantitative software platform which underpins our scientific endeavors. Together with the researchers and ...

Point72

Quantitative Software Developer

New York, NY · On-site

Cubist's data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data ...

Point72

Quantitative Software Developer

New York, NY

Cubist's data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data ...

Campbell & Company, LP

... or Research Engineer) contributes to the creation and implementation of research ideas and ... The Quantitative Software Developer may also work in a cross-department capacity with colleagues ...

DTCC

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

The Impact You Will Have in This Role As a Quantitative Software Engineer , you will play a key role in designing and delivering production-grade Python solutions that support critical quantitative ...

DTCC

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$134K - $176K/yr

The Impact You Will Have in This Role As a Quantitative Software Engineer , you will play a key role in designing and delivering production-grade Python solutions that support critical quantitative ...

Point72

Quantitative Software Developer

New York, NY · On-site

We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market ...

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Quantitative Software Engineer information

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$11K

$129.7K

$198K

How much do quantitative software engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for quantitative software engineer in the United States is $129,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Software Engineer vs Quantitative Analyst?

AspectQuantitative Software EngineerQuantitative Analyst
CredentialsDegree in Computer Science, Software Engineering, or related field; coding skillsDegree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentDevelops trading algorithms, software tools, and infrastructureBuilds financial models, analyzes market data, and advises on investment strategies
Industry UsageTechnology-driven financial firms, hedge funds, trading firmsInvestment banks, asset management firms, hedge funds

While both roles involve quantitative skills, Quantitative Software Engineers focus on developing software systems and tools used in trading and risk management, whereas Quantitative Analysts primarily analyze data and develop models to inform investment decisions. The roles often collaborate but differ in technical focus and daily tasks.

What are Quantitative Software Engineers?

Quantitative Software Engineers are professionals who design, develop, and maintain software systems for quantitative analysis, often in finance, trading, or research environments. They combine expertise in mathematics, statistics, and computer science to build models and algorithms that analyze large data sets, optimize trading strategies, or automate decision-making processes. Their work involves close collaboration with quantitative analysts (quants) and requires strong programming skills, typically in languages like Python, C++, or Java. The role is key in ensuring that quantitative models are efficiently implemented and scalable for real-world applications.

What are the key skills and qualifications needed to thrive as a Quantitative Software Engineer, and why are they important?

To thrive as a Quantitative Software Engineer, you need a strong background in mathematics, statistics, computer science, and programming languages such as Python, C++, or Java, typically supported by a relevant degree. Proficiency with data analysis tools, quantitative libraries, and version control systems like Git is essential, and knowledge of financial modeling or algorithmic trading platforms is often required. Strong problem-solving abilities, attention to detail, and effective teamwork distinguish top performers in this field. These skills are crucial for building robust, efficient systems that support data-driven decision-making in high-stakes environments.

What Does a Quantitative Software Engineer Do?

As a quantitative software engineer, your responsibilities are to design and build tools to develop a platform for clients for the purpose of enhancing various processes they have. To achieve this, you apply advanced analytics and concepts to develop system solutions. Your duties also include researching the computer-software development lifecycle and modeling new products to supplement the software. You assist clients with the quality and timeliness of research, analysis, and development while focusing on best practices. In this role, you typically work with your team and the client to develop, validate, and implement product and software solutions.

How does a Quantitative Software Engineer typically collaborate with researchers and traders in a financial firm?

Quantitative Software Engineers work closely with quantitative researchers and traders to design, implement, and optimize trading algorithms and analytics tools. They often translate research prototypes into robust, production-ready code, ensuring that strategies can be executed efficiently and reliably in real market conditions. Regular collaboration involves participating in cross-functional meetings, gathering requirements, and providing technical feedback to improve both performance and usability of systems. This collaborative environment helps ensure that trading strategies are not only innovative but also technically sound and scalable.
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Quantitative Software Engineer jobs near you
Infographic showing various Quantitative Software Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.
Quantitative Software Engineer

Quantitative Software Engineer

Edgestream Partners, L.P.

Princeton, NJ • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
Edgestream Partners is a team of scientists, engineers, and investment professionals dedicated to developing quantitative models of financial markets. They are seeking a Quantitative Software Engineer to maintain and build machine learning tools and research infrastructure, supporting researchers in large-scale scientific experiments with market data.
Responsibilities:
• Maintain and build novel machine learning tools and research infrastructure.
• Support researchers in running large-scale scientific experiments with market data and alternative data sources.
Qualifications:
Required:
• A Bachelor's or Master's degree in Computer Science, Engineering, or a closely related field.
• Exceptional proficiency in programming (Python preferred) and software design.
• Strong analytical foundation, including familiarity with probability, statistics, and machine learning.
• Demonstrated experience utilizing quantitative software libraries such as numpy/pandas, scikit-learn, or equivalent packages.
• The ability to communicate effectively within a complex, highly technical, and collaborative team environment.
• A genuine intellectual curiosity and a passion for using technology to solve challenging problems.
Preferred:
• Deep familiarity with financial market data structures, including equities, futures, and FX datasets.
• Familiarity with numerical optimization techniques.
• Experience building resilient, parallelized data transformation architectures for machine learning and statistical analysis and reporting.
Company:
Edgestream Partners, L.P. ("Edgestream"​) is devoted to institutional investment management in an ever-changing world. Founded in 2003, the company is headquartered in Princeton, USA, with a team of 11-50 employees. The company is currently Early Stage.

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