About The Position

Jump Trading Group is committed to world-class research, empowering 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, fostering constant innovation through fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking individual talent by incentivizing collaboration and mutual respect. Beyond superior risk-adjusted returns, Jump designs, develops, and deploys technologies that change our world, funds start-ups across industries, and partners with leading global research organizations and universities to solve problems. Our trading teams are dynamic groups of traders, quantitative researchers, and engineers who collaborate to examine global markets, understand complex traded products and exchanges, and leverage statistical analysis and data mining skills to develop profitable predictive trading models.

Requirements

  • Outstanding skills in computer science, machine learning, statistics, and mathematics.
  • Competitive spirit and uncommon drive to learn and improve.
  • Programming experience.
  • Appetite for risk-taking.
  • Demonstrated interest in financial markets.
  • Reliable and predictable availability required.

Nice To Haves

  • Seeking sharpest analytical minds from top undergraduate and graduate programs.
  • INTERNATIONAL STUDENTS are encouraged to apply.
  • Accept students eligible for CPT/OPT.
  • Sponsorship for work visas for full-time positions.

Responsibilities

  • Participate in an intensive 10-week program focused on enhancing quantitative and programming skills.
  • Gain experience in quant research, quant trading, and quant development roles.
  • Receive training in signal generation, machine learning, trading/market mechanics, C++, Python, and statistics.
  • Develop predictive models and automated trading strategies for live trading with fellow interns.
  • Work with trading teams on meaningful projects with real impact.
  • Receive daily 1:1 mentorship from experienced quant researchers, traders, and developers.
  • Perform other duties as assigned or needed.

Benefits

  • Mentorship from experienced quant researchers, traders, and developers.
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