Campus AI/ML Researcher (Intern)

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 global markets, seeking to understand the complexities of various traded products and exchanges. They leverage strong statistical analysis and data-mining skills to use research results for forecasting and to develop profitable predictive trading models.

Candidates should be interested in working in Asia for their full-time job after graduation.

International students are encouraged to apply.

Who Should Apply?

• Researchers with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains.
• Individuals capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure.
• Potential projects may target any area of the quantitative research and monetization process. Successful research efforts require a fluid mix of skills, including ML expertise, engineering pragmatism, statistics, and market intuition.
• No prior knowledge of finance or trading is necessary; training will be provided.
• Other duties as assigned or needed.

Skills You'll Need

• Creative, driven, and self-motivated thinkers eager to solve challenging problems with a pragmatic outlook.
• A strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent, and/or contributions to open-source AI research.
• Familiarity with ML libraries and frameworks such as PyTorch, TensorFlow, and/or JAX.
• Proficiency in Python and/or C++.
• Ability to thrive in a collaborative, team-oriented environment.
• Ability to reason through quantitative problems and communicate effectively with trading researchers.
• A strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g., transformers, SSMs).
• Reliable and predictable availability required.

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.