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Campus AI Researcher, PhD/Postdoc (Intern)

Jump Trading
🇬🇧LondonStudentInternPosted July 13, 2026

About the Role

Join Jump Trading Group's research team as a campus AI researcher (PhD/Postdoc intern) to apply machine learning to complex challenges in quantitative finance. You will implement open-ended research projects from concept to production, designing and improving predictive trading models using cutting-edge techniques in deep learning, language modeling, and statistical analysis. Work collaboratively with traders, quantitative researchers, and engineers to develop state-of-the-art capabilities that drive superior risk-adjusted returns and unlock innovation across global financial markets.

Requirements

  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
  • Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
  • Solid development skills in Python and/or C++
  • Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX
  • Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
  • Ability to thrive in a collaborative, team-oriented environment
  • Ability to reason through quantitative problems and communicate effectively with trading researchers
  • Reliable and predictable availability required
  • Demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains
  • Capable of implementing an open-ended research project from concept to production