Yuxi Chen

Designed and implemented AI-agent workflows to support personal systematic investing, automating information gathering, literature review, hypothesis generation, and strategy evaluation. Applied large language models, agent-based systems, and Python tools to develop and test quantitative investment ideas and improve research efficiency. Evaluated financial reasoning tasks and improved model outputs as a freelance AI contributor; recognised as an Oracle (top contributor).

Led empirical research on equity return seasonality and persistent return factors, contributing to the refinement of systematic investment strategies. Investigated credit spreads as a macroeconomic signal for dynamic factor allocation, collaborating with global research teams to evaluate portfolio applications. Supported client-facing teams through quantitative analysis and portfolio-related research.

Designed and executed a global ESG survey covering 50+ exchanges worldwide; co-authored a industry report for regulators and market participants. Co-authored research on crypto-trading infrastructure and systemic risk, analysing market structure, liquidity, and regulatory implications. Translated technical research into concise, policy-relevant insights for regulators and exchange stakeholders.