Campus Quantitative Researcher (Intern)

Jump Trading·Hong Kong, Shanghai·onsite
finance:systematicquant-researchIC2Front Office
Compensation
Not disclosed
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 incentivizing 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. 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 should be interested in working in Hong Kong or Shanghai for their full-time job after graduation. ------------------------------- About the Role: We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world. At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump. Our 10-week internship program begins with a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-hous