Equity Quant Researcher / Trader
Fuku · Hong Kong, Hong Kong, Hong Kong · 2026-06-09
About this role
Job Title: Equity Quant Researcher / Trader
Company Overview: - A world-leading quantitative trading institution.
Location: - Hong Kong
Key Responsibilities: - Quantitative Research & Factor Mining: - Mine alpha factors based on A-share & Hong Kong stock market data, including price-volume, fundamental, and capital flow data. - Iterate factor libraries and stock selection models to adapt to changing market cycles.
- Strategy Backtesting & Live Deployment: - Conduct strategy backtesting, parameter tuning, and risk attribution. - Avoid overfitting and deliver robust live strategies. - Continuously analyze live versus backtest deviation and iterate strategy logic in a timely manner.
- Live Trading & Daily Operation: - Manage daily live trading monitoring, position management, and execution. - Monitor market volatility and liquidity. - Control drawdown and trading risks to ensure stable strategy operation.
- Market Tracking & Strategy Iteration: - Track A&H share market rotation and structural changes. - Conduct regular market reviews. - Optimize strategies to improve excess return and risk resilience.
Requirements: - Professional Experience: - 2-5 years of full-time equity quant research/trading experience with proven A&H share live trading experience. - Pure buy-side quant background is highly preferred.
- Market Expertise: - Familiarity with A&H share trading mechanisms and market characteristics. - Ability to build independent equity factor and trading strategies. - Stable live track record is a strong plus.
- Technical Skills: - Proficient in Python. - Experienced in quantitative backtesting, data analysis, and modeling. - Solid review and risk attribution capabilities.
- Language Proficiency: - Fluent in English for daily work, professional document reading, and cross-team communication.
- Education & Quality: - Bachelor’s degree or above from top universities. - STEM majors (Math, Statistics, Physics, Computer Science, Financial Engineering) preferred. - Strong logic, data sense, and pressure tolerance.
Skills asked for
- python
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