Equity Quant Researcher / Trader at Fuku

Hong Kong, Hong Kong Island, Hong Kong S.A.R. -

Full Time

Start Date

Immediate

Expiry Date

08 Sep, 26

Salary

0.0

Posted On

10 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Research, Factor Mining, Strategy Backtesting, Live Trading, Risk Attribution, Python, Data Analysis, Modeling, A-share Market Analysis, Hong Kong Stock Market Analysis, Position Management, Risk Control

Industry

Retail Apparel and Fashion

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.

Responsibilities

The role involves mining alpha factors and developing stock selection models for A-share and Hong Kong markets. It also requires managing live trading operations, monitoring risk, and iterating strategies based on market rotation.