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35 Jump Trading Quantitative Developer Jobs Hiring Near You

Jump Trading

Software Engineers within Core Development design, build and test the infrastructure, tools and systems that drive Jump's business. They collaborate extensively with traders, quantitative researchers ...

Jump Trading

AI Infrastructure Engineer

New York, NY

$117.60K - $154.30K/yr

Jump Trading Group is committed to world class research. We empower exceptional talent across the ... Our AI team is an R&D group of quantitative researchers, engineers, and ML experts leading LLM ...

Jump Trading

AI Infrastructure Engineer

New York, NY · On-site

$200K - $250K/yr

Jump Trading Group is committed to world class research. We empower exceptional talent across the ... Our AI team is an R&D group of quantitative researchers, engineers, and ML experts leading LLM ...

Jump Trading

RF Hardware Engineer

Chicago, IL

Jump Trading Group is committed to world class research. We empower exceptional talents in ... Trading Infrastructure is a global organization of Engineers who architect, build and maintain our ...

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Jump Trading

HPC Production Engineer

Chicago, IL

Jump Trading Group is committed to world class research. We empower exceptional talents in ... quantitative research. The ideal candidate would be a hands-on individual, highly skilled in the ...

Jump Trading

HPC Data Center Technician

Carrollton, TX · On-site

$75K - $90K/yr

Jump Trading Group is committed to world class research. We empower exceptional talents in ... Trading Infrastructure is a global organization of Engineers who architect, build and maintain our ...

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Jump Trading Jobs Information

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

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.

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 Quantitative Developers?

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 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 other companies are hiring for Quantitative Developer jobs?
What are the most popular jobs at Jump Trading?
What are the most popular categories at Jump Trading?
Infographic showing various Quantitative Developer job openings at Jump Trading in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
Quantitative Developer | Trading Team

Quantitative Developer | Trading Team

Jump Trading

New York, NY

Other

Posted 29 days ago

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

At Jump, we bring together world class talent, battle tested infrastructure, and serious research intensity to build and scale trading strategies across every asset class and time horizon. Equities as an asset class is competitive, global and fast growing, and we participate in the world's equity markets via a vast array of businesses. Researchers coalesce around projects that may be market specific (investigating eccentricities and opportunities in specific venues or regions), latency specific (HF vs. Mid or Low Frequency), and research approach (ML vs. Deep Learning vs. hand crafted alphas; or groups focused on different swaths of data sets requiring deep expertise and focus). Our environment is a collaborative one, seeking to strike the balance between deep focus and expertise where needed, and the freedom to chase ideas across boundaries. Hierarchy and compartmentalization are not what we are about.
 
We are looking for experienced Quantitative Developers to join a "mixed frequency" research group (horizons range from many minutes to many days). It's a flat, fast moving, collaborative environment where each member has agency, and of whom much is expected. The team is global, as is the research and development. 
 
What You'll Do:
  • 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.
Skills You'll Need:
  • 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.
  • 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).
  • 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.
  • 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.

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