Quantitative Developer

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 incenting 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. As a Quantitative Developer, you will work on a core team of technologists who build and improve the platforms that drive the trading team. You will work closely with the quantitative researchers to create and improve research and trading infrastructure, improve the scalability of the production systems, maintain the production trading environment, troubleshoot problems, and develop software to automate and improve deployment, configuration, and validation. The team is looking for someone who will be passionate about development and demonstrates intellectual curiosity and an ability to solve difficult technical problems in a fast-paced and energetic environment. What You'll Do: • Full-cycle development, including research and production systems, writing, testing, and debugging code, deploying finished code into the production environment, and ensuring all code is checked into source control • Direct support of end users, troubleshooting problems and upgrading applications • Monitoring, troubleshooting, break/fix of production trading system • Other duties as assigned or needed Skills You'll Need: • Proficient in Python and C++, with the ability to develop and maintain code for production applications • Strong analytical and problem-solving skills • Must be extremely detail-oriented • Proven success working with large datasets • Self-directed and comfortable taking ownership of projects and responsibilities • Reliable and predictable availability