Campus Quantitative Trader (Intern)
Campus Quantitative Trader (Intern)
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Job Description
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:
The quant research & trading internship is an intensive 10-week program focused on enhancing your quantitative and programming skills as well as letting you experience what its like to be a full-time quant trader at Jump.
At Jump our people can contribute to trading teams in the following roles or a blend of all three: quantitative researcher / data scientist algorithmic trader and software developer so our internship program is designed train you in a variety of areas. Topics include Machine Learning trading / market mechanics C statistics and our research process for signal generation.
Applying lessons from training you will first work with fellow interns to develop your own predictive models and automated trading strategies for live trading.
Then youll have the opportunity to rotate and work with several trading teams. During each rotation youll 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
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. Well give you the training that youll 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 youll apply.
Required Experience:
Intern
Employment Type
Intern
