2027 - Quant Research Intern - IIT Delhi

Quant Research Intern ABOUT IMC: We’re a high-performance trading firm powered by technology, for those who want to be the best among the best. ABOUT THE ROLE: IMC is a leading global trading firm that combines technology, advanced quantitative research, and cutting-edge machine learning techniques to make markets more efficient. With a strong focus on innovation, we leverage mathematical models and high-performance computing to drive our trading decisions. As a Quant Research Intern, you’ll work at the intersection of data science, financial markets, and algorithmic trading solving real-world challenges that drive our trading strategies. This internship program offers a unique opportunity to gain hands-on experience in quantitative research, supported by structured learning, real-world project work, and direct mentorship from senior IMC employees. WHAT YOU’LL DO: Participate in an intensive training program covering trading concepts, options theory, statistical modelling, and machine learning techniques. Tackle a meaningful research challenge - whether it’s designing new predictive models, optimising existing strategies, or leveraging alternative data to extract actionable insights. Explore large financial and market datasets, identify patterns, and develop quantitative models that contribute to our trading decisions. Work closely with traders, researchers, and engineers in a fast-paced, intellectually stimulating environment. Present your findings through reports and presentations, gaining exposure to both technical and non-technical audiences. WHAT YOU’LL LEARN: A deep understanding of trading, market structure, and quantitative research methodologies. Hands-on experience with data science techniques and programming in Python. Exposure to real-time problem-solving in a high-frequency trading environment. The ability to present research findings and work collaboratively with cross-disciplinary teams. YOUR SKILLS AND EXPERIENCE: Currently pursuing a bachelor’s or master’s degree in a highly quantitative field, such as Mathematics, Statistics, Computer Science, Physics, Engineering, or a related discipline. Strong analytical and problem-solving skills, with a ke en interest in applying mathematical and statistical techniques to real-world challenges. Proficient in programming, preferably in Python, or other relevant languages like C++, Java, Matlab, or R. Curious and driven, with a passion for learning, adapting, and innovating in a fast-paced trading environment.