Daniel Debbini is an experienced data scientist with a strong background in quantitative analysis and systematic investing. Currently, Daniel serves as a Data Scientist in Growth at Matchday since May 2023. Prior experience includes roles at Google as a Data Scientist in Engineering from August 2021 to January 2023, and as a Quantitative Analyst at Magnetar Capital from March 2020 to July 2021. From January 2012 to January 2020, Daniel worked as a Strategist at Goldman Sachs Asset Management. Daniel holds a Master’s Degree in Financial Mathematics from Stanford University and a Bachelor's Degree in Electrical Engineering and Computer Science with a Minor in Statistics from the University of California, Berkeley.
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