Campus Trading Team Software Engineer (Intern)

Jump Trading is recruiting for Campus Trading Team Software Engineer (Intern) in Hong Kong. This listing was last seen on the firm's own job board on August 22, 2026.

Low-latency engineering is the product, so the systems bar is higher than the probability bar.

What sets Jump Trading apart: Latency engineering weighted above trading intuition. Deep C++ and hardware questions, including cache and network behaviour. Secretive by policy, so very little public information about desks.

Related preparation: Quantitative Trader (QT) Career Roadmap, Execution / Market Microstructure Quant Roadmap, Crypto / Digital Assets Quant Roadmap, Systematic Macro Quant Roadmap, Quantitative Sales & Trader Career Roadmap, Fixed Income Quantitative Analyst Career Roadmap, Foreign Exchange (FX) Quantitative Analyst Career Roadmap, Commodities Quantitative Analyst Career Roadmap and Options Quantitative Analyst Career Roadmap.

The role, as Jump Trading describes it, published on February 6, 2026 and reproduced from their job board:

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…

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. ------------------------------- *Candidates for this off cycle internship should be graduating in 2026 or 2027 and be interested in working in Hong Kong for their full-time job after graduation. -------------------------------

Building and improving high-performance data pipelines and processing systems

Collaborating with quantitative researchers to develop tools that support research workflows

Optimizing system performance through profiling, debugging, and architectural improvements

Building shared tools and infrastructure that power research efficiency and shorten iteration cycles

Bridging the gap between research prototypes and production-grade systems

Solid foundation in C++ and Python programming

Solid understanding of computer science fundamentals: data structures, algorithms, memory management, operating systems, compilers, computer architecture, and networking

Interest in systems programming and understanding how software interacts with hardware (OS internals, process scheduling, I/O, caching)

Comfortable working in a Linux environment