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Quantitative Researcher

IMC Trading
🇮🇳MumbaiMediorFull-timePosted September 23, 2026

About the Role

IMC is looking for an experienced Quantitative Researcher to develop trading signals and predictive models for the Options business. You will focus on researching and developing statistically robust signals and models to better understand and predict options market behaviour, with your work directly informing trading strategies and having a measurable impact on performance.

You will also help shape the research direction by exploring new approaches and improving existing methodologies, working in a collaborative environment alongside traders and engineers to translate research into production.

  • Develop and test alpha signals and predictive models for Indian options markets
  • Perform large-scale data analysis to uncover patterns and trading opportunities
  • Apply rigorous statistical methods to ensure robustness and reliability of results
  • Build a deep understanding of market behaviour, pricing dynamics, and structural inefficiencies
  • Collaborate with traders and engineers to translate research into production strategies
  • Continuously improve models and identify new areas of research

Responsibilities

  • Develop and test alpha signals and predictive models for Indian options markets
  • Perform large-scale data analysis to uncover patterns and trading opportunities
  • Apply rigorous statistical methods to ensure robustness and reliability of results
  • Build a deep understanding of market behaviour, pricing dynamics, and structural inefficiencies
  • Collaborate with traders and engineers to translate research into production strategies
  • Continuously improve models and identify new areas of research

Requirements

  • 3+ years of experience in quantitative research in NSE/BSE, ideally within derivatives or options
  • Strong foundation in probability, statistics, and quantitative modelling
  • Proven track record of developing impactful trading signals or models
  • Experience working with large datasets and time-series data
  • Strong programming skills in at least one language (Python preferred)
  • Curious, analytical mindset with a focus on problem-solving and innovation