Software Engineer, Central Trading.

About Jump

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.

About the Role

This role sits within Jump’s Global Centralized Trading Desk (OTS), a centralized trading team that partners with each of Jump’s quantitative trading teams to provide strategy oversight and management, market knowledge, and technical and analytical firepower. Trading in OTS puts you on the front line of emerging economic conditions, breaking news, and international affairs, offering an in-depth view of both the financial markets and the high-frequency trading landscape inside and outside Jump.

OTS also serves as a firm-wide research group — building new tools to deepen market understanding, analyzing strategy performance, and studying Jump’s extensive infrastructure. The role is deliberately open in this area, letting you specialize and add value wherever you see fit.

What You’ll Do

Within this role you will develop skills to manage risk, debug challenging infrastructure issues, and ultimately fine-tune algorithmic strategies on-the-fly to ensure optimal performance in reaction to constantly changing markets.

Skills You’ll Need

• At least 3+ years of programming / software engineering experience — Python and/or C++
• Highly analytical mind — capable of thinking critically, identifying patterns, and making decisions
• Inquisitive and self-driven — keen to dive into the complex world of HFT and find ways to improve the business
• Strong desire to learn about the financial markets (both microstructure and macro)
• Good understanding of Linux administration
• Good knowledge of IP networks
• Strong communication / written skills — able to travel and network within a global organization

Nice to Have

• Statistics / Machine Learning
• Electronics / Computer Architecture knowledge