A tier 1 global alternative investment manager is seeking a Quantitative Researcher / Trader based in Hong Kong or Singpaore to join its high-performing team in Asia. The firm operates across all major liquid asset classes, applying a data-driven and scientific approach to systematic investing.
Key Responsibilities:
- Research, design, and implement quantitative trading signals and models.
- Analyze large datasets to uncover market inefficiencies and predictive insights.
- Collaborate with global researchers, technologists, and traders to refine strategies.
- Monitor signal behavior and model performance over time.
About You
- Experience as a quantitative researcher or trader in a systematic environment.
- Advanced degree in a quantitative field (math, physics, statistics, computer science, or engineering).
- Strong programming skills in Python, R, C++, or similar.
- Deep understanding of statistics, machine learning, or data analysis.
- Highly analytical, curious, and detail-oriented, with the ability to work autonomously in a collaborative global team.
This is an opportunity to join one of the world's most respected alternative investment managers, where innovation, research excellence, and technology drive long-term success.
