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Quantitative Developer Jobs in New York (NOW HIRING)

Company Description Client is in Banking & financial domain. * proficient in Python and C++ * understanding of data structures, Object Oriented programming and Unix OS * strong analytical and ...

Quant Developer

New York, NY · On-site

$200K - $300K/yr

As a quantitative developer at Frec, you'll create products that enable us to level the financial playing field and empower people to manage their own money. Some values we identify with are ...

Company Description Client is in Banking & financial domain. * proficient in Python and C++ * understanding of data structures, Object Oriented programming and Unix OS * strong analytical and ...

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Quantitative Developer information

See New York salary details

$107.2K

$185.7K

$283.9K

How much do quantitative developer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quantitative developer in New York is $185,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,100.00 and $217,700.00 per year, depending on experience, location, and employer.

How does a quantitative developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What are the key skills and qualifications needed to thrive as a quantitative developer?

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What is a quantitative developer?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.
What are the most commonly searched types of Quantitative Developer jobs in New York? The most popular types of Quantitative Developer jobs in New York are:
What are popular job titles related to Quantitative Developer jobs in New York? For Quantitative Developer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Quantitative Developer jobs in New York look for? The top searched job categories for Quantitative Developer jobs in New York are:
What cities in New York are hiring for Quantitative Developer jobs? Cities in New York with the most Quantitative Developer job openings:
What are popular job titles related to Quantitative Developer jobs in NY? For Quantitative Developer jobs in NY, the most frequently searched job titles are:
Infographic showing various Quantitative Developer job openings in New York as of August 2026, with employment types broken down into 80% Full Time, 6% Part Time, and 14% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $185,689 per year, or $89.3 per hour.

Quantitative Developer | Trading Team

Jump Trading

Manhattan, NY • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Jump Trading Group is committed to world class research and empowers exceptional talents in Mathematics, Physics, and Computer Science. They are seeking experienced Quantitative Developers to contribute to various projects including production trading systems, operational safety, and microstructure research.
Responsibilities:
• You'll contribute to one or more of the following projects:
• Production Trading Systems and Live Operations: Own the reliability, observability, and operational performance of the firm’s live trading environment during market hours. Monitor live systems in real time, act as a primary responder to production issues, and work closely with quantitative researchers and engineers to investigate, mitigate, and resolve incidents affecting trading, risk, or system stability.
• Production Tooling, Deployment, and Operational Safety: Build and improve internal tools, dashboards, alerts, and automation to support live trading operations and reduce manual intervention. Design and maintain robust testing, deployment, rollout, and rollback processes for production changes, and strengthen production safety through health checks, failover mechanisms, and operational controls.
• Microstructure research: Develop tools to enhance research on market microstructure, collaborating with researchers to generate and analyze key features.
• Data Pipeline and System Management: Engage in full-cycle development, including research, coding, testing, and deploying systems into production. Provide direct support to end users, troubleshoot issues, and manage system upgrades.
Qualifications:
Required:
• 2+ year track record of solving challenging problems through coding with real metrics & impact in industry.
• Strong software development skills in Python and/or C++, with the ability to build efficient, modular, and reliable systems.
• Strong production engineering skills in Linux environments, including troubleshooting, scripting, monitoring, and operating real-time systems under pressure.
• Strong learning ability, intellectual curiosity, versatility, and originality combined with a pragmatic outlook.
• Ability to reason through quantitative problems and communicate effectively with quantitative researchers and engineers.
• Reliable and predictable availability to ensure smooth operations of production systems, including responsiveness during trading hours when needed.
Preferred:
• Experience with modern infrastructure and deployment practices such as CI/CD, Infrastructure as Code, containerization, and observability tooling is advantageous (e.g. GitLab, Jenkins, Terraform, Ansible, Docker, Kubernetes, Prometheus, Grafana).
• Over two years of experience working with industrial-grade codebases using compiled languages such as C++ is advantageous.
• Familiarity with high-performance computing (HPC) and distributed large-scale systems is a plus.
Company:
Jump Trading is a globally-positioned, proprietary trading firm. Founded in 1999, the company is headquartered in Chicago, USA, with a team of 1001-5000 employees. The company is currently Late Stage.