Campus Quantitative Researcher (M1/M2 Intern)

Jump Trading 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 incentivising 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 organisations and universities to solve problems.

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. As an M1/M2 research intern, you’ll first undertake an intensive research project, during which time you’ll work closely with a mentor from one of our trading teams.

Requirements

Then, you enter into a hands-on training program focused on enhancing your knowledge of trading, programming, and quantitative analysis. The training consists of in-house courses and trading simulation developed and delivered by our own experienced researchers, traders, and developers. Topics include Machine Learning, trading / market mechanics, C++, statistics, and our research process for signal generation Finally, you’ll have the opportunity to rotate and work with several trading teams.

During each rotation you’ll work on a project with the trading team while being mentored by experienced quant researchers, traders, and developers. Other duties as assigned or needed. Who Should Apply?

g. Ecole Polytechnique). ).

No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need. Reliable and predictable availability required.

Although we strongly value training in Computer Science and Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Neuroscience, Materials Science, Operations Research, and more. If you have outstanding skills in math and programming and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you’ll apply.