Campus Quantitative Researcher (Intern)
Campus Quantitative Researcher (Intern)
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Job Description
*Candidates should be interested in working in Hong Kong for their full-time job after graduation.
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.
Through our QR internship program youll have the opportunity to work closely with our trading teams that 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.
You will receive training coaching and mentorship from experienced quants/traders to successfully apply skills in a variety of areas like Machine Learning Trading / Market Mechanics Statistics Python and 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. 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
