- Hong Kong Hong Kong
Fuku Hiring! Full Time Equity Quant Researcher - Trader in Hong Kong - Ricebowl
Working Location
Job Description
Responsibilities
Job Title: Equity Quant Researcher / Trader
Company Overview:
Location:
Key Responsibilities:
Requirements:
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.
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