Description

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In the wake of the 2008 financial crisis, it became apparent that pricing loans in a way that is profitable for lenders and sensitive to risk is anything but simple. Increasingly, lenders are following the lead of other retailers by segmenting their market and more precisely targeting customers. To do this successfully, lenders must engage analytic approaches, such as machine learning and optimization, in setting prices for each segment.

Robert L. Phillips worked with major banks and financial services companies for more than a decade to help them improve their pricing capabilities. This book draws on his experience, as well as the latest academic research, to demonstrate how lenders can apply the proven techniques of price optimization to responsibly improve the profitability of their loans. It is a go-to resource for academics and professionals alike, particularly lenders who are looking for ways to do better business in an increasingly competitive (and regulated) market.

About the Author

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Robert L. Phillips is Director of Pricing Research at Amazon. He was Director of Marketplace Optimization Data Science at Uber Technologies, Professor of Professional Practice at the Columbia Business School and Founder and Chief Science Officer at Nomis Solutions. He is the author of the award-winning Pricing and Revenue Optimization (Stanford, 2005) and the co-editor of The Oxford Handbook of Pricing Management (2014).