FinTech & Big Data Conference with Jess Stauth

This conference explores the intersection of Finance, Technology, and Big Data. FinTech comprises many new areas of development such as consumer finance, text analytics, systemic risk, financial forecasting, cybersecurity, fraud detection, payment systems, high frequency trading, and cryptocurrencies. Speakers covering many of these areas will talk about recent research and applications in these many areas. We hope to integrate theory and practice in this set of exciting presentations.

<b>Featured Presenters: <b/>

John Bogle, Vanguard, Keynote Speaker

Sanjiv Das, Santa Clara University FinTech, AI and Deep Learning in Finance

Jakub Jurek, Wealthfront Modern Financial Planning

Seoyoung Kim, Santa Clara University & Dan Trepanier, Xambala Violations of Price-Time Priority and Implications for Market Quality

Andrew Lo, Massachusetts Institute of Technology Machine-Learning Models of Investor Behavior

Alfred Spector, TwoSigma Data Science: Opportunities, Limitations, and Perils

Jessica Stauth, Quantopian

Nancy Wallace, University of California Berkeley FinTech and Discrimination: A Pitfall of the Algorithmic Credit Scoring of Households?

Di (Andrew) Wu, University of Michigan

You'll be taken to a third party website

Get Started on Quantopian