Campus AI/ML Researcher (Fall 2025/Spring 2026 Intern) at Jump Trading International Limited

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Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Machine Learning, Statistical Analysis, Data Mining, Python, C++, Deep Learning, Collaboration, Quantitative Reasoning, Open-Source Contributions, ML Libraries, Engineering Pragmatism, Market Intuition, Creative Thinking, Self-Motivation, Problem Solving

Industry

Financial Services

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 should be interested in working in Asia for their full-time job after graduation. *INTERNATIONAL STUDENTS are encouraged to apply. ------------------------------- Who Should Apply? We are seeking researchers with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be 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. We believe that 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. We’ll give you the training that you’ll need. Other duties as assigned or needed. Skills You'll Need: Creative thinkers who are driven, self-motivated, and eager to solve challenging problems with a pragmatic outlook Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research Familiarity with ML libraries/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 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.

How To Apply:

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Responsibilities

The role involves applying machine learning to complex research projects and continuously improving model design and infrastructure. Researchers will work collaboratively with trading teams to analyze global markets and develop predictive trading models.