As a Graduate Quantitative Researcher, you will work with experienced researchers and developers in a fast-paced, data-driven environment. You will learn how trading ideas are researched, tested, and deployed, while contributing to live strategy development from early in your career.

Your Core Responsibilities:

• Research and test data-driven trading ideas
• Analyse large and complex datasets from cryptocurrency exchanges, DeFi protocols, and financial markets
• Build, test, and improve models, signals, and algorithms that support trading strategies
• Work with IMC's cutting-edge data, software, and high-performance computing infrastructure
• Collaborate closely with researchers, developers, and engineers to turn research into production-ready strategies
• Learn how to evaluate trading opportunities with a focus on performance, scalability, robustness, and risk

Your Skills and Experience:

• Final-year student or recent graduate in Mathematics, Statistics, Physics, Computer Science, Engineering or a related quantitative field
• Strong analytical and problem-solving skills, with the ability to learn quickly
• Programming experience, ideally in Python. Familiarity with C++ is a plus
• A genuine interest in financial markets, trading, crypto, or DeFi
• Comfortable working with data and applying quantitative methods to real-world problems
• Curious, collaborative, and eager to take ownership in a fast-moving environment

Prior experience in trading, crypto, or financial markets is helpful but not required.

This is an on-site role based in Zug, Switzerland, with very limited flexibility for working from home.