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Jonathan Regenstein Head of Financial Services Data Science Snowflake Fordham Gabelli Speaker Profile

Jonathan Regenstein Head of Financial Services Data Science Snowflake Fordham Gabelli Speaker Profile

QuantVision 2024: Fordham’s Quantitative Conference

Jonathan Regenstein currently serves as the Head of AI/ML in Financial Services at Snowflake, a role he has held since May 2023. Based in Atlanta, Georgia, he operates in a hybrid working environment, showcasing his expertise in artificial intelligence and machine learning within the financial sector.

Academic Contributions:

  • Research Affiliate, Georgia Tech Financial Services Innovation Lab (Oct 2020 – Present)
  • Adjunct Professor, Kennesaw State University – School of Data Science and Analytics (Aug 2022 – Present)

In addition to his professional endeavors, Jonathan is a dedicated academic. He is a Research Affiliate at the Georgia Tech Financial Services Innovation Lab, a position he has maintained since October 2020. Furthermore, since August 2022, he has been imparting his knowledge as an Adjunct Professor at Kennesaw State University’s School of Data Science and Analytics.

Previous Experience:

  • Executive Director/VP of Research and Analytics, Sylvan Road Capital LLC (Jan 2022 – May 2023)
  • Head of Data and Quantamental Research, Truist Securities (May 2020 – Jan 2022)
  • Director of Financial Services Practice, RStudio, Inc. (Dec 2017 – Apr 2020)
  • Enterprise Advocate, RStudio, Inc. (Mar 2016 – Nov 2017)
  • Co-founder, Rainstone Labs (Aug 2015 – Feb 2016)
  • Vice President, J.P. Morgan (May 2011 – May 2014)
  • Presence Learning (Jan 2010 – Apr 2011)
  • Founder, Squash The World (Jul 2008 – Dec 2009)
  • Associate, Cleary Gottlieb (Mar 2007 – Jul 2008)
  • Associate, Friedman Kaplan Seiler & Adelman LLP (Sep 2005 – Aug 2006)

Regenstein’s extensive career includes key positions at Sylvan Road Capital LLC, Truist Securities, and RStudio, Inc. He has also co-founded Rainstone Labs and served as Vice President at J.P. Morgan. His diverse experience spans operations, business development, and legal practice in tax and M&A/private equity.

Education:

  • BA in Government, Harvard University (1997 – 2001)
  • JD, New York University School of Law (2002 – 2005)

An alumnus of Harvard University and New York University School of Law, Jonathan’s educational background in government and law underpins his multifaceted approach to financial services and technology.

Authorship:

  • “Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis” (Part of The R Series)

Regenstein is also an accomplished author, having written “Reproducible Finance with R,” which is a testament to his expertise in data mining and analysis, particularly focusing on visualization, time series, and R programming.

Jonathan’s career is marked by a deep commitment to leveraging technology in finance. Jonathan has become one of the most respected data minds in the field and his posts on Linkedin are highly popular in the data science and quant communities. Moreover, Jonathan’s near Jedi skills in data mining, analysis, and visualization, especially using R, are evident in both his professional work and academic teaching. His diverse background, from founding a social media website for squash players to practicing law, reflects a versatile and innovative approach to his endeavors in the field of AI/ML in financial services.