Financial services managed to avoid technological disruption until very recently, with the rise of a number of different fintech companies like Lending Club for P2P lending and Stripe for payments. Bradford Cross offers an overview of machine learning applications in the financial services sector across banking, insurance, investments, real estate, and consumer financial services and contrasts these approaches with traditional quant finance. Bradford then explores specific applications, including underwriting credit and insurance, risk scoring, product and marketing, financial crimes, real estate, and more exotic ideas like using satellite imagery to make economic predictions on earth.
Bradford Cross is a founding partner at DCVC, a leading machine learning and big data venture capital fund. Previously, Bradford founded Prismatic, which used machine learning for personalized content ranking and natural language processing for topic classification, and FlightCaster, which used machine learning to predict the real-time state of the global air traffic network using FAA, carrier, and weather data. A hedge fund investor and a venture investor, Bradford started his career working on statistical value and momentum strategies at O’Higgins Asset Management and was a founding partner of Data Collective. He was also a systems engineer and worked on distributed systems at Google. Bradford studied computer engineering and finance at Virginia Tech and mathematics at Berkeley.
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