Campus Quantitative Researcher (Spring 2026 / Fall 2026)

Overview

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 emphasizes fearless innovation, 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.

Trading Teams

Our trading teams are composed of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, understand the complexities of various traded products and exchanges, and leverage statistical analysis and data mining to forecast market movements and develop profitable predictive trading models.

Internship Details

Off-cycle Internship candidates 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. We’ll provide the training you’ll need.
• Machine Learning (ML) and Large Language Model (LLM) expertise is highly desired.
• Reliable and predictable availability is required.
• Although we strongly value training in Computer Science and Mathematics, we welcome exceptional achievements in any technical discipline. Recent hires include students from 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 encourage you to apply.