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Intelligent Credit Scoring: Building and Implementing Better Credit Risk Scorecards

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A better development and implementation framework for credit risk scorecards Intelligent Credit Scoring presents a business-oriented process for the development and implementation of risk prediction scorecards. The credit scorecard is a powerful tool for measuring the risk of individual borrowers,  gauging overall risk exposure and developing analytically driven, risk-adjusted strategies for existing customers. In the past 10 years, hundreds of banks worldwide have brought the process of developing credit scoring models in-house, while ‘credit scores' have become a frequent topic of conversation in many countries where bureau scores are used broadly. In the United States, the ‘FICO' and ‘Vantage' scores continue to be discussed by borrowers hoping to get a better deal from the banks. While knowledge of the statistical processes around building credit scorecards is common, the business context and intelligence that allows you to build better, more robust, and ultimately more intelligent, scorecards is not. As the follow-up to Credit Risk Scorecards, this updated second edition includes new detailed examples, new real-world stories, new diagrams, deeper discussion on topics including WOE curves, the latest trends that expand scorecard functionality and new in-depth analyses in every chapter. Expanded coverage includes new chapters on defining infrastructure for in-house credit scoring, validation, governance, and Big Data.

Black box scorecard development by isolated teams has resulted in statistically valid, but operationally unacceptable models at times. This book shows you how various personas in a financial institution can work together to create more intelligent scorecards, to avoid disasters, and facilitate better decision making. Key items discussed

Following a clear step by step framework for development, implementation, and beyond Lots of real life tips and hints on how to detect and fix data issues How to realise bigger ROI from credit scoring using internal resources Explore new trends and advances to get more out of the scorecard Credit scoring is now a very common tool used by banks, Telcos, and others around the world for loan origination, decisioning, credit limit management, collections management, cross selling, and many other decisions. Intelligent Credit Scoring helps you organise resources, streamline processes, and build more intelligent scorecards that will help achieve better results.

420 pages, Kindle Edition

Published December 20, 2016

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About the author

Naeem Siddiqi

9 books1 follower

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Profile Image for Fabio Ismerim Ismerim.
124 reviews6 followers
June 28, 2022
Rico nos detalhes.

Cheguei neste livro pelas incontáveis referências a ele feitas no livro Credit Scoring, do Laredo.

Muito completo, a obra busca ensinar passo a passo a como desenvolver e implementar um
modelo de escore de crédito. Por se tratar de uma área sensível e de suma importância estratégica nas empresas, não se encontra muito conteúdo explicativo por ai.
Aqui você vai aprender como definir as bads, como criar os escores, utilizar ou nao os bureaus, validar performance e etc.

Pode ser lido de ponta a ponta ou aprnas buscar um capítulo específico para um problema pontual. Gostei muito da analise “contrafactual “, onde fazemos inferências nos não aprovados como forma de melhorar nosso modelo.

Didático e pra consultas frequentes.
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