Quantitative Research Intern

WHO WE ARE

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.

YOUR CORE RESPONSIBILITIES 

• 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.

WHO YOU ARE

• 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 keen 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.
• Excellent communication skills, with the ability to distill complex concepts into clear, actionable insights.