ApplySarthiQuantitative Research Intern 2027
IMC
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This role on the market
217 open quantitative roles across 32 companies are on ApplySarthi right now, most of them in Mumbai (7), Delhi NCR (6), Bengaluru (1).
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What quantitative roles keep asking for: Python (41%), Machine learning (22%), C++ (18%) — counted across their open postings here.
C++ jobs · Java jobs · MATLAB jobs · Machine learning 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 Machine learning? Tell me one thing you learned the hard way.
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
- Tell me about a problem you solved at work that you are proud of.
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Quantitative Research Intern 2027 at IMC interview free →IMC is a leading global trading firm that combines technology, advanced quantitative research, and cutting-edge machine learning techniques to trade a broad range of products globally. With a strong focus on innovation, we leverage quantitative models, high-performance computing, and a deep understanding of the markets to drive our trading decisions.
As a Quantitative Research Intern, you’ll work at the intersection of data science, financial markets, and algorithmic trading, solving real-world challenges that drive our trading strategies. This internship program offers a unique opportunity to gain hands-on experience in quantitative research, supported by structured learning, real-world project work, and direct mentorship from senior IMC employees.
WHAT YOU’LL DO:
- Participate in an intensive training program covering trading concepts, theory, statistical modelling, and machine learning techniques.
- Tackle a meaningful research challenge — whether it’s designing new predictive models, optimising existing strategies, or leveraging alternative data to extract actionable insights.
- Explore large financial and market datasets, identify patterns, and develop quantitative models that contribute to our trading decisions.
- Work closely with traders, researchers, and engineers in a fast-paced, intellectually stimulating environment.
- Present your findings through reports and presentations, gaining exposure to both technical and non-technical audiences.
WHAT YOU’LL LEARN:
- A deep understanding of finance, trading, market structure, data, and quantitative research methodologies.
- Hands-on experience with data science techniques and programming in Python.
- Exposure to real-time problem-solving in a quantitative trading environment.
- The ability to present research findings and work collaboratively with cross-disciplinary teams.
YOUR SKILLS AND EXPERIENCE:
- Currently pursuing a bachelor’s, master’s, or PhD in a highly quantitative field, such as Mathematics, Statistics, Computer Science, Physics, Engineering, or a related discipline.
- Commenced your penultimate year of study.
- Strong analytical and problem-solving skills, with a keen interest in applying mathematical and statistical techniques to real-world challenges.
- Proficient in programming, preferably in Python, or other relevant languages like C++, Java, MATLAB, or R.
- Curious and driven, with a passion for learning, adapting, and innovating in a fast-paced trading environment.
- Excellent communication skills, with the ability to distil complex concepts into clear, actionable insights.
- Must be able to start the internship in May/June 2027.
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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Listed on greenhouse · posted 2026-08-12. ApplySarthi collects openings and links to application pages; the role is advertised by IMC, not by us.