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Quantitative Software Engineer Jobs (NOW HIRING)

Point72

Quantitative Software Developer

New York, NY

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 ...

Point72

Quantitative Software Developer

New York, NY

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 ...

Point72

Quantitative Software Developer

New York, NY · On-site

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 ...

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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 Jun 12, 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 June 2026, with employment types broken down into 2% As Needed, 39% Full Time, 48% Part Time, 2% Temporary, 8% Contract, and 1% Nights. 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: Portfolio Research Acceleration

Two Sigma Investments, LP

New York, NY • On-site

$165K - $300K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 16 days ago

Job description

Quantitative Software Engineer: Portfolio Research Acceleration
Location
NY New York
United States
Business
Investment Management
Function
Engineering
Experience Level
Experienced
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Position Summary
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.
In Quantitative Components, we own the systems that drive Two Sigma's ability to make reliably profitable portfolios in a world of uncertainty. Our team builds the core components at the heart of Two Sigma's forecasting, simulation and optimization. These systems are critical for the success of Two Sigma and touch all parts of the research, modeling, and trading environments. Engineers working on Quantitative Components will be directly responsible to our core business and are expected to understand, build, iterate, and expand on the research done by our world class research groups. Our engineers engage with research topics and cover new domains quickly; build deep expertise with Two Sigma data and tools; apply high standards to the code and develop an ability to identify highly impactful projects in a complex and mission critical domain.
The ideal candidate is someone with a strong engineering and quantitative background - we work at the intersection of engineering and quantitative research.
You will take on the following responsibilities:
  • Work closely with our research partners to ideate and iterate within new areas of research, driving improvements and innovations in portfolio optimization techniques, and developing new tools to accelerate research
  • Engineers will prototype implementations, craft new architectures, and productionalize research insights
  • Perform quantitative analysis to characterize and understand the quantitative impact of their work on Two Sigma's trading models to drive discussions with researchers, engineers and business leaders.
  • Become a technical expert for the systems underpinning these research areas and help evolve these components
  • Develop a deep understanding in multiple portfolio research domains

You should possess the following qualifications:
  • Minimum 7 years of experience in academia and/or industry; 10+ years of experience preferred in software engineering, quantitative analysis and research methods
  • Experience with mathematical optimization, linear algebra, statistical methods, and numeric methods
  • PhD in Physics, Electrical Engineering, Computer Science, Operations Research, Applied Math, or another technical/quantitative field highly preferred
  • Excellent communication skills
  • No prior finance experience required, though familiarity with portfolio construction and optimization techniques a plus

You will enjoy the following benefits:
  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible in-office days with budget for home office setup

The base pay for this role will be between $165,000 and $300,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws.
If you believe you need an accommodation, please visit our website for additional information.

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