IMC is hiring a Quantitative Trader to focus on monetization research and back testing for high- to mid-frequency delta-one equity strategies. This role emphasizes research depth, systematic evaluation, and capital efficiency, partnering closely with quant researchers and engineers to turn signals into scalable, profitable trading strategies.

Based in Sydney, this role is ideal for candidates who excel at research-driven trading problems, large-scale data analysis, and rigorous performance validation. For exceptional candidates from top global trading firms, Hong Kong location may be considered.

Core Responsibilities

• Research and evaluate new trading signals and strategy ideas with a focus on monetization potential
• Design and run large-scale back tests to assess PnL, risk, capacity, and robustness
• Analyse transaction costs, market impact, and execution assumptions within back testing frameworks
• Optimize portfolio construction, capital allocation, and risk controls across strategies
• Work with engineers to improve back testing infrastructure, data quality, and research tooling
• Partner with live traders to ensure research assumptions align with real-world execution behaviour
• Drive strategies from research validation through production readiness

Skills & Experience

• Degree in a quantitative field (Mathematics, Physics, Computer Science, Engineering, Economics, or similar)
• 3+ years of experience in quantitative trading or monetization research, preferably in equities
• Strong experience with back testing frameworks, large datasets, and systematic performance evaluation
• Deep understanding of market microstructure, transaction costs, and scalability constraints
• Strong programming skills (Python/C++ strongly preferred); ability to write clean, research-grade code
• Rigorous, detail-oriented mindset with strong statistical intuition
• Experience at leading systematic or proprietary trading firms is a strong plus

IMC is seeking an experienced Quantitative Trader to focus on live trading operations and performance analysis for high to mid-frequency, delta-one equity strategies in APAC markets. Based in Hong Kong, this role sits close to production trading and is responsible for maximizing PnL through real-time monitoring, execution optimization, and rapid feedback loops between trading, research, and engineering.

This is a hands-on trading role with strong ownership of day-to-day strategy behaviour in live markets, requiring sound judgment under pressure and deep understanding of market microstructure.

Core Responsibilities

• Operate and oversee live high- to mid-frequency equity trading strategies across APAC markets
• Monitor intraday performance, risk, and execution quality; identify and act on anomalies in real time
• Analyse fills, slippage, adverse selection, and market impact to continuously improve execution outcomes
• Work closely with quant researchers to translate research ideas into robust, production-ready trading behaviour
• Partner with engineers to diagnose production issues, improve system stability, and enhance trading infrastructure
• Contribute to post-trade analysis, performance attribution, and feedback into strategy iteration
• Ensure strategies operate within defined risk limits and respond appropriately to changing market conditions

Skills & Experience

• Degree in a quantitative field (Mathematics, Physics, Computer Science, Engineering, Economics, or similar)
• 3+ years of experience in systematic equity trading, with direct exposure to live trading environments
• Strong understanding of market microstructure, order books, and execution dynamics in APAC markets
• Proven experience analysing execution quality, market impact, and intraday performance drivers
• Strong programming and data analysis skills (Python/C++ strongly preferred)
• Ability to make sound decisions under pressure and manage multiple live priorities simultaneously
• Excellent communication skills and a collaborative, team-oriented mindset