Jump Trading / Jump Crypto
Campus Quantitative Researcher (Intern)
Eligibility
- Currently enrolled in or recent graduate of an undergraduate or graduate program.
- Strong analytical and quantitative background, preferably in technical disciplines such as Computer Science, Mathematics, Physics, or related fields.
A 10-week quantitative research internship involving training in quant research, programming, machine learning, and trading, with rotations among trading teams to develop predictive models and automated trading strategies.
Responsibilities
- Complete a 10-week internship program focused on quantitative and programming skill enhancement.
- Develop predictive models and automated trading strategies during team rotations.
- Receive training in machine learning, trading mechanics, C++, statistics, and Jump's research processes.
- Work with quant researchers, traders, and developers to apply learned skills on live trading.
- Collaborate and be mentored by experienced professionals in trading and research.
Requirements
- Strong quantitative and programming skills (mathematics, statistics, machine learning, programming).
- Drive to learn and improve, entrepreneurial spirit.
- No prior finance or trading knowledge required.
- Reliable and predictable availability.
Skills
- Programming
- Mathematics
- Statistics
- Machine Learning
- Data Mining
- C++
Full job description
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.
About the Role:
The quant research internship is an intensive 10-week program focused on enhancing your quantitative and programming skills, as well as letting you experience what it’s like to be a full-time quant researcher 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 to 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 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?
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.
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