Xixuan Han is a Vice President and full-stack quantitative strategist based in Hong Kong with 11 years of experience across equity financing, stock borrowing/lending and synthetic/swap trading. Combining a PhD in Financial Modeling and Machine Learning from The University of Hong Kong with hands-on analytics, statistics and software development skills, she designs data-driven trading strategies and infrastructure for major investment banks. Her recent roles at Goldman Sachs and Bank of America reflect a track record of translating complex financing products into robust, production-ready models and tooling. Known for bridging quantitative research and engineering, she brings unusually deep domain expertise in securities financing paired with machine-learning rigor.
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