Quantitative Researcher

IMC; Mumbai City; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

IMC is seeking an experienced Quantitative Researcher to develop trading signals and predictive models for the Indian options market. You will work with traders and engineers to translate research into production strategies and improve methodologies with robust statistical approaches.

You will analyze large datasets to uncover patterns, understand market dynamics, and contribute to performance improvements across the options business.

Qualifications

• 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.

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

Skills

Quant research

Probability & Stats

Time-series analysis

Trading signals/models

Python programming

Analytical problem solving

Tools

Python

Job description

Job Description:

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

• 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

Your Skills and Experience

• 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

About Us

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

Requirements: