Graduate Quant Researcher - Digital Assets

5 дн. назад

SwitzerlandEuropeJunior

pythonc++data analysisquantitative methods

Work as a graduate quantitative researcher focusing on developing and testing data-driven trading strategies in digital assets.

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.

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

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.
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.