Tier 1 Hedge Fund Stat Arb Quantitative Researcher [Hong Kong]
Key Responsibilities
Research and develop equity statistical arbitrage strategies (market-neutral, long/short)
Design and test alpha signals using large-scale equity and alternative datasets
Build robust backtesting frameworks and evaluate strategy performance, risk, and capacity
Conduct rigorous statistical analysis and improve signal robustness and decay characteristics
Collaborate with engineering and trading teams to transition research into production
Continuously monitor live strategies and refine models post-deployment
Required Qualifications
Advanced degree (PhD, MSc, or equivalent) in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related field
Strong background in equities statistical arbitrage or systematic equity strategies
Proven research track record with production-level strategies or signals
Excellent programming skills in Python; experience with C++/Java is a plus
Solid understanding of statistics, time-series analysis, and machine learning techniques
Familiarity with market microstructure, transaction costs, and portfolio construction
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