About The Position

Our 10-week internship is your chance to experience life as a Quant Researcher at IMC. You will work alongside your mentor to explore new research ideas and build custom analysis tools that may be deployed into production. Throughout the summer, there will be opportunities to enhance your knowledge of options theory, market making, algorithm complexity and trades analysis. We provide a highly competitive compensation package with accommodations included. The bar for talent at IMC is high and interns who meet our performance expectations will have the opportunity to secure a full time Graduate Researcher position at the end of the program. Where you go from here is up to you!

Requirements

  • Current university student pursuing an advanced degree such as a PhD in an applied technical field such as Machine Learning, Computer Science, Computer Engineering, Physics, Statistics, or Mathematics and graduating between September 2027 – July 2028
  • Direct experience in applying deep learning, or alternatively an academic track record of publications in a related domain
  • Has a passion for research and solving complex problems
  • A creative thinker who is driven, resilient, and eager to develop trading intuition
  • Experience in a programming language (Python, C, C++) is highly desired
  • Must be able to start internship in-person on June 7, 2027

Responsibilities

  • Team up with Quant Researchers to work on real projects that have potential to impact our business
  • Enhance your understanding of options theory through classroom-based instruction
  • Develop your research skills with support and feedback from a dedicated mentor and intern lead
  • Build valuable connections in an environment that recognizes and rewards problem solving, innovation and teamwork
  • Engage in professional development sessions aimed at helping you envision your future at IMC
  • Attend a full-schedule of events and social activities to get to know your cohort and current employees

Benefits

  • highly competitive compensation package
  • accommodations included
  • discretionary bonus
  • paid leave
  • insurance
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