Jump Trading is a global quantitative trading firm headquartered in Chicago and built around the close integration of trading, research, and technology. The firm has operated for more than two decades and today maintains a broad international presence across offices including Chicago, New York, Austin, London, Amsterdam, Singapore, Hong Kong, Shanghai, Sydney, Mumbai, Bristol, Paris, and GIFT City.
Its trading business spans a wide range of markets and styles. Jump describes its strategies as extending from high-frequency trading and statistical arbitrage to discretionary macro, with activity across equities, options, credit, commodities, digital assets, and futures. Research is central to this process: ideas are developed quantitatively, stress-tested against real market conditions, and engineered so they can be deployed and scaled in production.
Technology is a core part of Jump's competitive infrastructure rather than a support function. The firm builds systems across hardware, networking, distributed computing, storage, simulation, and low-latency software. Its infrastructure includes purpose-built research data centres, more than one hundred co-located compute environments near global exchanges, custom ASIC and FPGA development, proprietary networking, and high-performance software written in languages including C++, Python, Go, and Rust.
Jump also invests heavily in machine learning and artificial intelligence. Its research environment works with large-scale market and alternative datasets, high-performance computing, real-time inference, time-series forecasting, deep learning, reinforcement learning, language models, and generative modelling. Researchers, engineers, and traders work closely together so that models can move from research to live feedback loops quickly and be evaluated under the adversarial, non-stationary conditions of financial markets.
The firm's recruiting reflects this cross-disciplinary structure. Jump hires quantitative researchers, traders, software and hardware engineers, machine-learning researchers, and other technical specialists, alongside structured opportunities for students and new graduates. The company places strong emphasis on problem solving, quantitative intuition, engineering ability, curiosity, and the capacity to build systems that perform under real-world constraints.
