1. Introduction

Scorecards are the heart of every modern lending business, from credit cards to house mortgages. The core idea of a Scorecard is to transform the probabilities of a client paying the loan (creditworthiness of an individual) into a number that could be easily interpreted, guiding business decisions. Although Scorecards are not new, it has been changing a lot with the new Big Data/AI scenario, and especially after the 2008 Financial Crisis.

What “Intelligent Credit Scoring” offers you is more than just a introduction to the subject. It’s a complete guide on how to work and construct Scorecards written by one of the most influential authors of the field.

At first glance, when I received Intelligent Credit Scoring I thought it would be one more boring book I would read the introduction, maybe the first couple of chapters and leave it decorating my shelf, and maybe use it for research when needed. But I was totally wrong! Reading it was actually pleasant, and for a 400-page book with technical information with chapters about credit regulation and model monitoring, it went faster than I expect.

2. Book main audience

Intelligent Credit Scoringis an accessible book target to a broad audience, from beginners in the industry to experienced professionals. Whether you are a Credit Analyst, a Credit Scoring Manager, or a Data Scientist, the content of this book is going to offer a deeper view on how to create, evaluate, and monitor Scorecards.