Quantitative Research Intern 2027

IMC is recruiting for Quantitative Research Intern 2027 in Hong Kong, Hong Kong. This listing was last seen on the firm's own job board on August 22, 2026.

Options market making with a technology-first culture and a lighter maths bar than its Amsterdam neighbour.

What sets IMC apart: Traders and engineers hired into the same programme and trained together. Lower mental maths bar than Optiver, higher weight on logic puzzles. Strong campus presence in the Netherlands, Chicago, and India.

Related preparation: Quantitative Researcher (QR) Career Roadmap, Machine Learning Quant Career Roadmap, Quant Strategist (Desk Quant) Career Roadmap, Quant Data Scientist (Alternative Data) Roadmap, Quant Research Ops (MLOps) Roadmap and Financial Data Scientist Career Roadmap.

The role, as IMC describes it, published on August 12, 2026 and reproduced from their job board:

IMC is a leading global trading firm that combines technology, advanced quantitative research, and cutting-edge machine learning techniques to trade a broad range of products globally. With a strong focus on innovation, we leverage quantitative models, high-performance computing, and a deep understanding of the markets to drive our trading decisions.

As a Quantitative 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, 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 finance, trading, market structure, data, and quantitative research methodologies.

Hands-on experience with data science techniques and programming in Python.