Quantitative Researcher (HK)

Quantitative Researcher

Key Responsibilities:

• Conduct quantitative research to develop and improve predictive models for asset pricing, trading signals, and risk management
• Analyze large datasets to identify patterns, inefficiencies, and opportunities in global financial markets
• Design and test alpha-generating strategies using statistical and machine learning techniques
• Backtest and validate models across multiple asset classes (equities, fixed income, FX, derivatives)
• Collaborate with engineering teams to implement models into production trading systems
• Continuously monitor model performance and refine algorithms based on market behavior
• Contribute to the development of internal research tools and data pipelines
• Present research findings and insights to investment and risk committees

Qualifications:

• Master’s or PhD in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Financial Engineering)
• Solid understanding of econometrics, statistical inference, and time-series analysis
• Proficiency in Python, R, or similar programming languages used in quantitative research
• Familiarity with data manipulation tools (Pandas, NumPy) and statistical libraries
• Experience working with large-scale financial datasets and market data vendors
• Knowledge of trading systems, market microstructure, and financial products
• Strong communication skills and ability to translate complex models into actionable insights
• Prior experience in a buy-side, sell-side, or fintech environment is preferred
• Comfortable working in a fast-paced, research-driven, and collaborative environment

What We Offer:

• Exposure to leading-edge quantitative finance research and technologies
• Competitive compensation with performance-based bonuses
• Access to high-quality data infrastructure and computing resources
• A diverse, inclusive, and innovation-driven workplace
• Opportunities for continued learning and professional development
• Hybrid or flexible working options based in Hong Kong