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Quantitative Researcher

IMC

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217 open quantitative roles across 32 companies are on ApplySarthi right now, most of them in Mumbai (7), Delhi NCR (6), Bengaluru (1).

What quantitative roles keep asking for: Python (41%), Machine learning (22%), C++ (18%) — counted across their open postings here.

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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

  1. Why do you want to join IMC?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. Tell me about a problem you solved at work that you are proud of.
  4. Tell me about a time you disagreed with your manager. What happened?
  5. Where do you want to be in three years?

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Practise the Quantitative Researcher at IMC interview free →

IMC is looking for an experienced Quantitative Researcher to develop trading signals and predictive models for our Options business. If you enjoy solving complex problems, working with large datasets, and building models that drive trading performance, this role could be a great fit.

You will focus on researching and developing statistically robust signals and models to better understand and predict options market behaviour. Your work will directly inform trading strategies and have a measurable impact on performance. You will also help shape the research direction by exploring new approaches and improving existing methodologies.

IMC has strong advantages across market access, technology, and execution, and you will work in a collaborative environment alongside traders and engineers to translate research into production.

 

Your Core Responsibilities: 

 

Your Skills and Experience: 

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 2026-09-23. ApplySarthi collects openings and links to application pages; the role is advertised by IMC, not by us.