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Quantitative Software Engineer Jobs (NOW HIRING)

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 ...

Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control) * Strong quantitative and analytical skills; command of linear ...

Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control) * Strong quantitative and analytical skills; command of linear ...

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... software development, preferably at a trading firm or systematic fund * Strong production ...

Quantitative Developer

New York, NY · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... software development, preferably at a trading firm or systematic fund * Strong production ...

Quant Engineer - Vice President

New York, NY · On-site +1

$180K - $210K/yr

... software platform. * Test, validate, and document quantitative methodologies to ensure accuracy ... Strong programming skills in Python for data analysis, modeling, and software development * Strong ...

Quant Engineer - Vice President

New York, NY · On-site

$180K - $210K/yr

... software platform. * Test, validate, and document quantitative methodologies to ensure accuracy ... Strong programming skills in Python for data analysis, modeling, and software development * Strong ...

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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.
What cities are hiring for Quantitative Software Engineer jobs? Cities with the most Quantitative Software Engineer job openings:
What states have the most Quantitative Software Engineer jobs? States with the most job openings for Quantitative Software Engineer jobs include:
What are popular job titles related to Quantitative Software Engineer jobs? For Quantitative Software Engineer jobs, the most frequently searched job titles are:
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 Developer

Quantitative Software Developer

Point72

New York, NY

Other

Posted 16 days ago


Job description

About Cubist: 

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About our Team: 

KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.

Please send CVs to kepl-talent@cubistsystematic.com with "2026 KEPL QD Application" in the subject line.

Role:

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, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.

Responsibilities:

  • Improve data ETL pipeline and build tools to analyze new data efficiently.
  • Build technologies to bolster research & trading efficiency.
  • Expand to new markets and asset classes.
  • Manage day-to-day operations in a fast-paced environment.

Requirements

  • Master/PhD degree in math, computer science, engineering, or other related fields.
  • 1-3 years of professional experience in software development or data science/analytics.
  • Strong combination of quantitative skills and programming skills.
  • Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.
  • Familiarity with the Linux environment.
  • Excellent written and verbal communication skills.
  • Willing to work in a fast-paced start-up environment.
  • Commitment to the highest ethical standards.