We are seeking a highly analytical and intellectually curious Quantitative Researcher to join our team based in Hong Kong. This role is ideal for candidates who excel in quantitative modeling, statistical research, and data-driven strategy formulation. You will work closely with portfolio managers, data scientists, and developers to build and enhance systematic trading strategies. 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
