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JT

Campus Quantitative Researcher (Full-Time)

Jump Trading
London; Amsterdam Posted Jul 15, 2026
On-site

About this role

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 start by completing a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as Trading / Market Mechanics, Statistics, R, Python, C++, Machine Learning, and our research process. You will later be coached to successfully apply those skills to 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. May include other duties as assigned or needed. What You'll Do

  • Complete a training program focused on enhancing your knowledge of trading, programming, and quant research.
  • Build predictive models and develop algorithms to automatically execute trades across exchanges.
  • Leverage large-scale computing resources to test and deploy trading strategies in real markets.
  • Collaborate with researchers, traders, and developers to turn research into deployable solutions. What We're Looking For
  • Sharp analytical minds from top undergraduate and graduate programs.
  • Uncommon drive to learn, entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning).
  • No prior knowledge of finance or trading required; we provide training.
  • Reliable and predictable availability.
  • 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 Electrical Engineering, Statistics, Physics, Neuroscience, Materials Science, Operations Research, and more.
  • Outstanding skills in math and programming; curiosity about improving research with daily feedback from competitive markets. Nice to Have
  • Exceptional achievements in any technical discipline. Compensation & Benefits
  • Private Medical, Vision and Dental Insurance; Travel Medical Insurance; Group Pension Scheme; Group Life Assurance and Income Protection Schemes; Paid Parental Leave; Parking and Commuter Benefits.

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