Marc-Antoine Loo possesses a diverse background in quantitative research, data science, and finance, with experience as an Equity Derivatives Structurer at Societe Generale Corporate and Investment Banking and as a Quantitative Researcher at PIMCO. Loo has contributed to the design and automation of derivatives products and participated in a significant data science project at UC Berkeley, developing a virtual reality tool for patent analysis utilizing machine learning and natural language processing. Educational qualifications include multiple advanced degrees from prestigious institutions such as the University of California, Berkeley, and HEC Paris, focusing on financial engineering, international finance, systems engineering, and civil engineering.
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