Campus Quantitative Researcher (Fall 2025 / Spring 2026 Intern)
Campus Quantitative Researcher (Fall 2025 / Spring 2026 Intern)
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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 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.
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 for this off cycle internship should be graduating in 2025 or 2026 and be interested in working in Hong Kong for their full-time job after graduation.
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.
- Machine Learning (ML) and Large Language Model expertise (LLM) is highly desired.
- 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 ML 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
