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 global research organizations and universities to solve problems.
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Quantitative Researcher, Internship (Singapore)
*Candidates should be interested in working in Singapore for their full-time job after graduation.
*Timing of application consideration and interviews will vary to accommodate university timelines.
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-house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as Machine Learning, Trading / Market Mechanics, Statistics, R, Python, C++, and our research process.
You will later be coached to successfully apply those skills during rotations with trading teams and research projects with mentorship from experienced quants/traders. You will help build predictive models, leveraging one of the largest supercomputers in the world, and devise automated trading strategies to test in the markets against world-class competition. Other duties as assigned or needed.
Who Should Apply?
We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.).
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.
What We Do
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 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 global research organizations and universities to solve problems.
