Quantitative Researcher

IMC B.V.; Mumbai Suburban; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A global trading firm is seeking an experienced Quantitative Researcher to develop high frequency trading strategies for India's Index Options. Responsibilities include large scale data analysis, model development, and collaboration across teams. Candidates should have a strong background in machine learning and statistics, with 4+ years of experience in trading strategies. This role offers the chance to work in a dynamic environment pushing the boundaries of trading technology.

Qualifications

• 4+ years’ experience as a Quantitative Researcher.
• Proven success with profitable trading strategies.
• Significant experience applying ML approaches to India Index Options.

Responsibilities

• Develop high frequency trading strategies and predictive models.
• Perform large scale data analysis for market predictions.
• Collaborate with researchers and traders to improve models.

Skills

Machine learning

Statistics

Programming in Python

Data analysis

Education

Graduate & Postgraduate study in machine learning, statistics, or STEM

Job description

IMC is looking for experienced quant researchers with a proven track record to develop high frequency trading strategies and predictive models, on a per option basis, for India’s Index Options products. If you’re excited about helping to push the boundaries of what we can do with Machine Learning in trading, unlocking the significant edges we have in execution, and collaborating to become the best trading firm in a growing market, this may be the role for you.

You will be responsible for performing large scale data analysis to derive statistically profitable predictions of market behaviour. These predictions are used to inform all of our trading, and you will help to shape the direction we take across research and tooling as we try new innovative approaches towards predicting option price movements.

We have longstanding and significant edges across market access, global reach, Options understanding and low latency. The rapid growth we’ve already seen in Machine Learning has unlocked these edges, and some of the most interesting and impactful problems are now being tackled.

You will work as part of an established and growing Index Options team, collaborating closely with traders, researchers and developers to find improvements to our models and see them impact our production trading results. IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices.

Your Core Responsibilities:

• Combine creativity and experience to rapidly generate high quality, testable ideas
• Shape the modelling approach we take for predicting Option price movements
• Use a rigorous and structured process to ensure your results are reliable and well tested
• Develop a strong grasp of the market dynamics and areas of improvement, collaborating effectively with the operational traders
• Have a solid understanding of statistics, a variety of machine learning approaches, and the risks of overfitting
• Collaborate extensively within the trading team to identify and incorporate new signals into our trading strategies

Your Skills and Experience:

• Graduate & Postgraduate study from top universities, majoring in machine learning, statistics, or STEM subjects
• 4+ years’ experience as a Quantitative Researcher, a proven track record of developing value-adding and orthogonal features across multiple families
• Significant practical experience applying at least one mainstream ML approach to India Index Options.
• Proven success with profitable trading strategies
• Strong programming skills in at least one language (python preferred)

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.