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Quantitative Researcher – Options (India)

A researcher building trading signals and predictive models for Indian options markets, working with traders and engineers. It sits in IMC's Mumbai research team.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

  • Research and test alpha signals for NSE/BSE options
  • Run large-scale analysis on options and time-series data
  • Stress-test findings for statistical robustness before they go live
  • Work with traders and engineers to turn models into production strategies

What they ask for

Required

  • 3+ years of quant research in Indian markets, ideally options
  • Probability, statistics and quantitative modelling
  • Track record of useful signals or models
  • Large datasets and time series
  • Programming, Python preferred
Education
No degree level stated
Experience
3+ years of quantitative research in NSE/BSE markets
Languages and tools
  • Python
Markets
options

How to prepare

  • Study how Indian index options behave, including expiry-day dynamics
  • Build an implied volatility surface from option chain data
  • Practise backtesting a signal with proper out-of-sample testing
  • Learn the Greeks and how they feed market-making models

What to study

The Volatility Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on IMC Trading’s site before applying: requirements, location and pay can change after we check them.

View the posting on IMC Trading’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with IMC Trading and doesn’t handle applications.

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