Machine Learning Researcher

Key responsibilities

• Mine alpha factors and build predictive models via deep learning based on multi‑dimensional financial market data.
• Explore signal fusion and strategy ensemble approaches to enhance model robustness and portfolio return characteristics.
• Rapidly prototype, reproduce and optimise state‑of‑the‑art deep learning models using mainstream ML frameworks.
• Stay updated on the latest academic and industrial research, iterating models and improving performance continuously.

Required profile

• Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Machine Learning or related quantitative disciplines from top universities.
• Strong theoretical foundation in machine learning and ability to perform end‑to‑end data processing and independent modelling.
• Hands‑on research or project experience in time‑series forecasting, NLP or other deep‑learning domains.
• Logical, rigorous mindset with excellent self‑learning capability and strong interest in applying ML to quantitative finance.

Required skills

• Proficient in Python.
• Experience with mainstream deep learning frameworks (e.g., TensorFlow, PyTorch).