Quantitative Trader – Equities (Strategy Monetization)
IMC Trading - Hong Kong, Hong Kong; Sydney, Australia
Posted Feb 23, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
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About this role
Quantitative Trader – Equities (Strategy Monetization) Hong Kong, Hong Kong; Sydney, Australia 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
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