Campus Quantitative Researcher (Off-Cycle - Winter/Spring 2027 Intern)

Jump Trading; Hong Kong; On-site; HKD 223,000 - 312,000; Full time

Benefits offered by this job

Training program

Mentorship

Exposure to global markets

Job summary

Jump Trading Group is seeking an off-cycle intern who will graduate in 2027 and join our Hong Kong or Shanghai offices for full-time work after graduation. You will work across quant research, data science, and software development, applying machine learning, statistics, and Python/C++ to build predictive trading models.

You will receive hands-on training, mentorship from experienced quants, and exposure to global markets as you help translate research into live trading strategies and robust

Qualifications

• Strong programming and analytical skills with emphasis on Python/C++.
• Interest in applying ML and statistics to financial data.
• Willingness to learn and collaborate across teams.
• Graduating in 2027 with intent to work in HK or Shanghai after graduation.

Responsibilities

• Build predictive models from big data and develop trading algorithms.
• Collaborate with quants, traders, and software engineers to deploy models.
• Translate research into live trading strategies and robust infrastructure.
• Receive mentorship and training from experienced professionals.

Skills

Python

C++

Machine learning

Data analysis

Statistics

Education

Undergraduate or graduate program in CS/Math/Physics

Tools

Pandas

NumPy

Git

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.

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 2027 and be interested in working in Hong Kong or Shanghai 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.

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 C++. 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, ML, and programming and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you'll apply.