We're building out a trading initiative in London, with a growing focus on listed commodities options. This expansion is supported by a mix of internal talent and experienced external hires. With a collaborative and entrepreneurial culture, the team offers a unique opportunity to help shape and scale a new desk from an early stage. The group combines deep expertise with broad trading experience and values innovation, ownership, and cross-functional collaboration. As the desk continues to grow, there will be increasing opportunities to take on broader responsibilities and contribute meaningfully to its success.  Your Core Responsibilities • Maximize revenue by identifying and monetizing short- and long-term mispricings, as well as managing the resulting positions • Be able to take lots of responsibility and ownership early in your time here to drive the strategy forward • Managing risk and developing market making strategies • You will have lots of responsibility and ownership early on to drive strategies forward and be successful • IMC is highly collaborative between traders, quants, and developers so the scope of responsibility is fairly fluid involving a mixture of data-driven analysis, quantitative modelling and algorithm development Your skills and experience: • 3+ years’ experience in Commodities Options markets highly preferred, other asset classes such as Equity Options will be considered if from a proprietary trading environment  • BS, MS, or PhD, preferably in STEM • You have a quantitative and strategic mindset and a healthy appetite for risk • Strong technical skills in Statistics and Python • You have a proven ability to act and make decisions in a fast-paced and competitive environment • You are analytical, passionate about reflecting on past trades, and always seeking to do better • Experience with managing risk and developing market making strategies • Product experience is preferred • Strong communication and teamwork abilities 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.