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Systematic Index Options Trader

IMC

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17 open systematic roles across 6 companies are on ApplySarthi right now, most of them in Mumbai (2), Hyderabad (1), Bengaluru (1).

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

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 systematic roles keep coming back to Python, Machine learning. 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. Where do you want to be in three years?
  4. What is a weakness you are working on, and how?
  5. Tell me about yourself, and why this role is the right next step.

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Practise the Systematic Index Options Trader at IMC interview free →

We are looking for an Index Options Low-Latency Execution Quantitative Trader to join our team. IMC's Index Options desk is one of the leading electronic liquidity providers in index options markets. Our execution team is responsible for getting IMC into the trades we want to participate in, across a range of mechanisms. Our ultra-low latency infrastructure is best-in-class, and because IMC is highly collaborative between traders, quant researchers, and developers, the scope of this role spans deep trade analysis, execution system improvement, and early ownership of a defined part of the strategy.

Your Core Responsibilities:

Your Skills and Experience:

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.

Salary Range
$250,000—$250,000 USD

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 2026-06-01. ApplySarthi collects openings and links to application pages; the role is advertised by IMC, not by us.