Quantitative Researcher

Tasks

As a Quantitative Researcher, you will be responsible for the following tasks:

• Developing and refining risk-parity and macro quantitative investment strategies across financial markets as part of the dedicated China research team.
• Management of the entire investment lifecycle—from alpha generation and portfolio construction to transaction execution—with a focus on balancing allocation frameworks across asset classes.
• Alpha Generation & Strategy Development: Identifying new investment ideas and innovative data sources to support complex investment themes, risk factors, and risk premiums.
• Data & Modeling: Collecting and refining complex datasets, applying statistical analysis and quantitative modeling to forecast macro themes, risk premiums, and returns.
• Portfolio Construction & Implementation: Focus on risk budgeting methods, volatility estimation, and return forecasting models—which are central to risk-parity portfolio construction—as well as on trading costs, dynamic leverage, diversification, and rebalancing strategies.
• Intermediaries & Solution Development: Synthesizing and interpreting model outputs to make portfolio decisions, with the ability to clearly and comprehensibly communicate the risk exposures and performance attribution of solutions, strategies, and asset allocations.
• External Representation: Serving as a credible and articulate spokesperson for the firm’s strategies to external stakeholders—engaging with investors and distributors to present the investment philosophy, portfolio construction rationale, and performance transparency.

Requirements

The following requirements apply to this position:

• Advanced studies in computer science, statistics, mathematics, finance/economics, or a related quantitative field from a top-tier university.
• Strong programming skills, combined with a keen intuition for programming and the ability to think outside the box; a strong track record of original research and demonstrated problem-solving skills.
• Curiosity and strong analytical skills: with a solid foundation in statistics and extensive experience applying these skills to conduct empirical research; practical experience with LMMs and AI is also a plus.
• Proficiency in data analysis: Analyzing large and complex datasets using statistical tools and Python.
• Reliability or risk-parity portfolio construction: Experience with portfolio construction and alternative energy portfolio management; knowledge of macro and cross-asset dynamics (China Onshore).
• Strong communication skills: able to explain complex ideas in simple terms to both external and internal stakeholders.
• 2–5 years of experience in research and trading on stock markets.

We offer

We offer a work environment that promotes quality and opportunities. Your unique perspective will contribute to your success; our culture is deeply rooted in learning and growth. Through our career paths and tailored initiatives, we are committed to helping you learn, grow, develop your talents, and foster an inclusive environment for everyone in our company and in the