Trade Operations Analyst
Hong Kong
Текст объявления
We're looking for a motivated individual to join our APAC Middle Office team as a Trading Operations Analyst, supporting our systematic equities and ETF desks across APAC markets. This is a fast-paced, high-ownership role where you'll play a critical part in ensuring our traders can operate safely and efficiently throughout the trading day.
Your Core Responsibilities:
Tracking and managing the full lifecycle of corporate actions (stock splits, bonus shares, changed tickers, acquisitions, spinoffs, bankruptcies, divests, fund mergers) and the associated position changes
Providing traders with a clear view of tradeable positions and outstanding issues before safe market entry
Working with prime brokers and clearers to correct reports, co-ordinating across multiple counterparties simultaneously
Reconciling P&L and cash breaks, including swap-related and corporate action-driven breaks
Contributing to ETF P&L analysis and refinement, including multi-currency complexity
Participating in the design and build of internal tooling to improve visibility of issues
Your Skills and Experience:
2-4 years’ experience in a Middle Office, Trade Support or Product Control role
Tertiary education in Finance, Economics, Commerce, or a related field
Strong attention to detail and comfort working under time pressure
Ability to manage multiple tasks simultaneously across different markets
A collaborative team player who communicates clearly and proactively
Experience with Python, SQL, VBA and Claude Code is preferred but not essential
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.
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