The release of Hadoop fundamentally changed the ability of financial enterprises to address velocity, variety, and volume in data. Ten years later, Juan Huerta describes the most significant data-oriented technical challenges the industry currently faces and the promising confluence of technologies and modeling paradigms that will drive the evolution of data technologies during the next decade.
Juan Huerta is the head of decision sciences at Goldman Sachs’s new Consumer Lending Group, where he is responsible for leading the development of statistical models and algorithms that will support the Goldman Sachs Consumer Lending business, including models for targeting, customer segmentation, loan decisioning, conversion attribution, and fraud detection. Previously, Juan worked in organizations including IBM Watson Research, PlaceIQ, Citibank, Dow Jones, and Dragon Systems Inc. developing machine-learning algorithms to help computers acquire, decode, and understand human intention from raw signals. He holds a PhD in electrical and computer engineering from Carnegie Mellon University.
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