About the role
The Live Trading, Analysis & Tooling engineering team exists to make sure our traders and researchers have all the tools they need to run and analyse their trading at scale. We tackle both ends of scaling - we help traders maximise how many strategies they can trade, and help them analyse specific moments to find new opportunities. Our team sits close to the people who use what we build, with short iteration loops, fast feedback, and a lot of conversation.
The work is broad. We build tools that help traders orchestrate strategies across our full product range. We build infrastructure that makes large amounts of data quickly explorable. We model risk, analyse trades, and figure out where new opportunities might be.
Our toolkit is just as broad. Python, Java, React, SQL, any tool that solves the issue at hand.
About you
- You're energised by problems where the brief doesn't exist yet. Working out what to build is as much the job as building it
- You can move between languages without it slowing you down. The right tool matters more to you than your favourite one
- You like working with stakeholders across the business and you're good at figuring out what someone actually needs, not just what they asked for
- You can pivot. You enjoy trying out new ideas quickly and scaling them once they’ve proven value - or throwing them out if they didn’t work
What you don't need
A finance background. Experience in any particular language. A specific set of years in any particular role. We hire engineers who like to solve the problems our traders face - we'll teach you the context on the ground.
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.