Quantitative Researcher

Jump Trading is a leading proprietary trading firm known for its advanced quantitative research and sophisticated trading strategies. Founded in 1999 and headquartered in Chicago, Jump Trading operates globally, leveraging cutting-edge technology to trade in a variety of asset classes including equities, fixed income, foreign exchange, and commodities. The firm combines mathematical modelling, computational skills, and in-depth market understanding to identify and capitalise on trading opportunities across the world's financial markets. At the core of Jump Trading's success is its commitment to innovation and technology. The firm invests heavily in high-speed technology and algorithmic trading systems, enabling rapid analysis and execution of trades. This focus on technology is matched by a culture that values collaboration, intellectual curiosity, and continuous learning, allowing its team of talented traders, researchers, and engineers to push the boundaries of what's possible in trading. Jump Trading also contributes to the broader community, including involvement in philanthropic activities and partnerships with universities to foster education and innovation in finance and technology.

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Strong programming skills in C++ in a Linux environment
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines
• Proven success working with large data sets and developing statistical models
• Fascinated and interested in advancing machine learning within the trading community
• Possess strong familiarity with Python, R or Matlab along with development skills to support research efforts
• Masters or PhD in Statistics, Physics, Mathematics (or related subject)
• Desire to work within a collaborative, team-driven environment
• Reliable and predictable availability
• Excellent written and spoken English communication skills