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Quantitative Software Engineer Jobs in New York (NOW HIRING)

Pillar

Quantitative Software Engineer Lead

New York, NY · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Quantitative Software Engineer Lead * 5 days a week in NYC HQ * Base salary: $225k-375k * Equity: Competitive Initial Equity Package + refreshers * 4+ Years of Experience About Pillar Pillar is ...

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 ...

IMC

Quantitative Developer

New York, NY · On-site

$200K - $225K/yr

  • PTO

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 ...

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All JobsQuantitative Software Engineer JobsQuantitative Software Engineer Jobs in New York

Quantitative Software Engineer information

See New York salary details

$12K

$141.9K

$216.6K

How much do quantitative software engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for quantitative software engineer in New York is $141,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,500.00 and $151,500.00 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 is a quantitative software engineer?

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 New York as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $141,859 per year, or $68.2 per hour.

Quantitative Software Engineer Lead

Pillar

Manhattan, NY • On-site

Full-time

Re-posted 15 hours ago

Job description

Job Summary:
Pillar is building the next-generation commodity risk management stack for the $10T physical economy. The Quantitative Software Engineer Lead will architect and develop trading systems, optimize performance, and mentor a talented engineering team.
Responsibilities:
• Architect the future of commodity trading infrastructure: Lead development of our trading system as we start scaling in new markets and onboarding new customers.
• Engineer at the edge of performance: Build and optimize low-latency distributed systems, ensuring our platform minimizes risk and gets optimal prices on fills.
• Build and mentor a world-class team: Shape our engineering culture, hire and mentor talented engineers, and collaborate directly with founders to solve some of the most challenging problems in financial technology.
• Own critical systems end-to-end: From market data ingestion to order execution and risk monitoring, you'll have autonomy over mission-critical infrastructure that keeps our clients' businesses running 24/7.
Qualifications:
Required:
• 5+ Years of Experience
• Deep understanding of data structures, algorithms, design patterns, and core systems fundamentals.
• Extensive experience architecting and building complex financial systems with a focus on building and scaling low latency event driven distributed systems
• Strong ownership and teamwork, ability to work collaboratively to unblock work, drive momentum, and make sure important things get over the finish line.
• Demonstrated ability to navigate ambiguity, learn quickly, and independently figure things out in fast-moving environments.
• Exceptional problem solving skills and ability to break down and tackle complex tasks.
Preferred:
• Familiarity with Golang, Python, C++, gRPC, PostgreSQL, Kafka, AWS
• Experience building trading systems
• Domain experience with derivatives, crypto, equities or other financial products
Company:
Pillar provides SaaS for commodity and currency risk management that automates data analysis, trade execution, and post‑trade accounting. Founded in 2023, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.

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