Machine Learning Research Intern - Summer 2027 - Chicago

IMC Trading; Chicago (IL); On-site; USD 270,000 - 330,000; Full time

Benefits offered by this job

Discretionary bonus

Paid leave

Insurance

Job summary

IMC Trading is offering a 10-week internship for a Quant Researcher in Chicago, Illinois. Interns will collaborate with mentors, explore research ideas, and build custom analysis tools while gaining knowledge in options theory and market making. Successful interns may secure full-time positions post-internship.

The role demands a PhD student in applied fields like Machine Learning or Statistics, with a strong research and programming background. A competitive compensation package is offered, including a base salary of $300,000.

Qualifications

• Current university student pursuing a PhD, graduating between September 2027 and July 2028.
• Experience in deep learning or relevant publications.
• Demonstrated passion for research and problem-solving.

Responsibilities

• Collaborate with Quant Researchers on impactful projects.
• Develop understanding of options theory through instruction.
• Build connections in a rewarding environment.

Skills

Deep learning

Python

C

C++

Problem solving

Research skills

Education

PhD in an applied technical field

Job description

Overview

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!

Your Core 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

Your Skills & Experience

• 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

You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.

Compensation

Base Salary: $300,000. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. For more information, please visit Benefits - US | IMC Trading.