10-week in-person research internship partnering with Quant Researchers to explore research ideas, build analysis tools, learn options theory and market making, and develop skills for potential conversion to a full-time Graduate Researcher role.
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:
Your Skills & Experience:
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.
The Base Salary range for the role is included below. 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. Please visit Benefits - US | IMC Trading for more comprehensive information.
Base Salary: $300,000
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.
The Base Salary range for the role is included below. 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. Please visit Benefits - US | IMC Trading for more comprehensive information.
Base Salary: $300,000
Similar Jobs at IMC Trading
Fintech • Machine Learning • Software • Financial Services
10-week software engineering internship working on meaningful projects, classroom training on markets and tech, mentorship, professional development, cohort events, and potential conversion to a graduate role for strong performers.
Top Skills:
Algorithms And Data StructuresC++Java
Fintech • Machine Learning • Software • Financial Services
10-week in-person internship partnering with Quant Researchers to explore research ideas, build analysis tools, learn options theory and market making, receive mentorship and professional development, and compete for a full-time Graduate Quant Researcher role.
Top Skills:
CC++Python
Fintech • Machine Learning • Software • Financial Services
10-week in-person PhD internship working with Quant Researchers to explore research ideas, build analysis tools, learn options theory and market-making, develop research skills with mentor support, and participate in cohort events. High-performing interns may receive a full-time Graduate Quant Researcher offer.
Top Skills:
CC++Python
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories


.png)