IMC Trading Sim - Hong Kong
IMC Trading
About the role
Trading Simulation at HKU!
Ever wondered what it takes to trade a real market?
Join IMC for a live Trading Simulation and experience first-hand how our traders operate. Using Python, you'll build and deploy your own trading bot, translate your logic into real-time trades, and test your strategy against competing teams — and against ours. It is the closest experience to how IMC'ers think, react and make decisions in fast-moving markets.
WHAT TO EXPECT
- Build and deploy your own Python trading bot
- Turn logic into real-time trades
- Compete against other teams (and our bots)
- Apply research-driven thinking in a fast-paced session
- Bring your laptop and a problem-solving mindset
Throughout the session there will be food and refreshments, the opportunity to network with IMC'ers, and prizes for our top performers.
EVENT DETAILS
Date: Mid-September
Time: To be confirmed
Location: The University of Hong Kong
Registration: Register your interest below — details to follow. We'll confirm the date, time and venue by email ahead of the session, so please keep an eye on your inbox.
Applications for our 2027 Hong Kong Internships are now open. To apply, please visit https://www.imc.com/hk/careers/students-graduates/internships.
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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.
Want an insider here?
No IMC Trading employee has joined Vochure yet. Tell us you want one and we'll email you if that changes — no referral is promised in the meantime.
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