Success at IMC Trading relies on more than great traders. Competing in global markets takes inventive technologists who design, test and refine the tools that drive modern finance. With 900+ employees in the Loop and beyond, IMC’s strength comes from teamwork built on trust, inclusion and curiosity. We embrace diverse perspectives, empower people to learn, and encourage bold ideas that push boundaries. “We could never do it alone,” an engineer said. “A strong culture of collaboration, trust and a desire to make things happen is what allows us to compete and win.”
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At a glance
GLOBAL OPS
Outposts in Sydney, Mumbai and Amsterdam.
LOCAL LOVE
Active charitable foundation, which annually supports over 50 local organizations that particularly focus on youth and education.
PITCHING IN
Generous matching program for employee charitable donations, and doubled matched contributions to COVID relief and racial equity causes.
UPWARD TRAJECTORY
Six-week practical classroom traineeship, mentorship and other training opportunities reflect growth mentality.
Featured employees
PAYING DIVIDENDS
Tackle the markets without feeling adrift
“Baptism by fire.” That’s how Moser recalls his experience live-trading at the Chicago Board Options Exchange after joining the firm as its inaugural graduate broker. But, thanks to the mentorship and guidance of seasoned colleagues, as well as the org’s formal training programs, the fintech newcomer ultimately found his footing in the field. “The knowledge I have gained today seemed unfathomable two years ago,” Moser said.
Burke Moser
Floor Trader
Since day one, IMC has given me the tools to succeed and supported me the whole way, allowing for maximum growth as a person, not just a trader.
The Research Engineer will develop scalable research platforms, collaborate with traders and researchers, and optimize ML tools for trading strategies.
As a Quantitative Developer, you will develop systems for research and production, execute backtesting, and optimize strategies while collaborating with teams.
Design and build ML infrastructure, influence data access and model deployment, partner with researchers to optimize ML models for trading, and mentor engineers.
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