Equity Quant Researcher / Trader
Fuku
| Company | Fuku |
| Category | Finance |
| Location | Hong Kong |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Mid |
| Salary | Not stated by the employer |
| Posted | 9 Jun 2026 |
| Last verified | 6 Aug 2026 |
| Source | Employer ATS (workable) |
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.