Quantitative Researcher - Digital Assets

IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. IMC Zug is currently looking to expand its Research team, which builds the algorithms that support IMC's trading activities. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies. Your Core Responsibilities: Research within a team of highly experienced Researchers in the low latency, PnL-focused trading space. Work with a cutting-edge data and software stack. Work with our high performance computing platform. Extensive flexibility in exploring PnL-generating opportunities within your research area Your Skills and Experience: Experience in researching and developing fully-automated low latency crypto trading strategies. Candidates without experience in fully-automated trading strategies shall not be considered for this role. Background in Statistics, Mathematics, Physics, Computer Science or a related technical field. Team player. Strong development skills in Python. Familiarity with C++ is a plus. Outstanding analytical skills with the ability to learn quickly. Location and Office Culture We give people lots of responsibility and the support they need to make an impact from day one and we promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our teams and offices. Note that this is an onsite role in Zug, Switzerland, with very limited flexibility for working from home About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.  

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