Quantitative Strategist Electronic Trading

Department: Equity Electronic Trading

Budget: HKD 70-80K/month + bonus

Key Responsibilities:

• Enhance the firms automated trading platform by maintaining and optimizing predictive models for algorithmic trading.
• Proactively identify inefficiencies and drive data-driven improvements to execution performance.
• Lead transaction cost analysis (TCA), providing clients and internal stakeholders with actionable insights on execution quality and trends.
• Produce research on market microstructure, regulatory impacts, and other trading-related topics to inform strategy.

Qualifications:

• 4 years of experience in electronic trading, quant research, or execution analytics.
• Strong programming skills (Python, C++, Java, or similar) and experience with statistical modeling/machine learning.
• Deep knowledge of equity markets, including DMA, algos, and TCA.
• Proficiency in SQL/NoSQL databases and handling large datasets.
• Background in financial engineering, data science, or a related quantitative field preferred.
• Self-motivated team player with strong communication skills and high ethical standards.