Tier 1 Hedge Fund - China-A Quantitative Researcher
Key Responsibilities
Design, construct, and refine predictive features from high-frequency and/or daily market data
Conduct exploratory data analysis to uncover structural inefficiencies and alpha opportunities
Implement and evaluate statistical, machine learning, or basic deep learning models for signal generation
Perform robust backtesting, validation, and out-of-sample testing to assess signal stability
Collaborate with traders and engineers to transition research models into live trading environments
Monitor live performance and iterate on models based on market regime shifts
Requirements
1-3 years of experience in quantitative research, systematic trading, or related analytical roles
Practical experience in feature engineering, including data cleaning, transformation, and signal construction
Working knowledge of machine learning methods (e.g., tree-based models, linear models, ensemble methods); exposure to deep learning frameworks is a plus
Experience researching or trading China A-shares or commodities futures markets preferred
Strong programming skills in Python (experience with libraries such as pandas, NumPy, scikit-learn; familiarity with PyTorch or TensorFlow advantageous)
Solid understanding of statistics, probability, and model evaluation techniques
Degree in Mathematics, Statistics, Computer Science, Engineering, Finance, or related quantitative discipline
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