About the role
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
- Manage broker relationships in the Commodities team Be able to take lots of responsibility and ownership early in your time here to drive the strategy forward
- Closely collaborating and effectively communicate with Vol and Screen traders to manage risk portfolios
- Leverage an entrepreneurial mindset to identify and research new trading opportunities
- Perform trades analysis to improve trading
Your skills and experience
- 2+ years of experience as an Execution/Broker Trader
- BS, MS preferably in business, economics or 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
- 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.