# Equity Quant Researcher / Trader

**Company:** [Fuku](http://jobs.workable.com/companies/cVzy4Zi49yLx9EZznjyX2v.md)
**Location:** Hong Kong, Hong Kong
**Workplace:** on site
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/02c6e898-82f0-4f87-8d76-451344810053)

## Description

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.