ApplySarthiQuantitative Research Intern (PhD) - Summer 2027
IMC
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This role on the market
217 open quantitative roles across 30 companies are on ApplySarthi right now, most of them in Mumbai (7), Delhi NCR (6), Bengaluru (1).
- Quantitative Analyst InternTalos Trading
- Senior Quantitative ResearcherSwissblock
- Working Student (m/f/d) Quantitative developmentSolactive
- Quantitative Trading & Research - Energy - Executive DirectorJPMorgan
- Quantitative Analysis, AVPStatestreet
What quantitative roles keep asking for: Python (40%), Machine learning (21%), C++ (18%) — counted across their open postings here.
C++ jobs · Machine learning jobs · Python jobs
IMC has 175 open roles listed here.
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for quantitative roles keep coming back to Python, Machine learning, C++. Practise those questions before you sit with IMC.
Questions you are likely to be asked
- Why do you want to join IMC?
- What is your experience with C++? Tell me one thing you learned the hard way.
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
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Practise the Quantitative Research Intern (PhD) - Summer 2027 at IMC interview free →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 Quant 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 and Experience:
- Current university student graduating between September 2027 – July 2028 that is pursuing a PhD degree in Mathematics, Engineering, Statistics, Physics, Computer Science, or another highly quantitative field
- Superior numerical, analytical, and critical thinking skills
- 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: $250,000
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
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