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Bank Fraud: Using Technology to Combat Losses by Revathi Subramanian

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Contents

Preface

Acknowledgments

About the Author

Chapter 1 Bank Fraud: Then and Now

The Evolution of Fraud

The Evolution of Fraud Analysis

Summary

Chapter 2 Quantifying Fraud: Whose Loss Is It Anyway?

Fraud in the Credit Card Industry

The Advent of Behavioral Models

Fraud Management: An Evolving Challenge

Fraud Detection across Domains

Using Fraud Detection Effectively

Summary

Chapter 3 In God We Trust. The Rest Bring Data!

Data Analysis and Causal Relationships

Behavioral Modeling in Financial Institutions

Setting Up a Data Environment

Understanding Text Data

Summary

Chapter 4 Tackling Fraud: The Ten Commandments

1. Data: Garbage In; Garbage Out

2. No Documentation? No Change!

3. Key Employees Are Not a Substitute for Good Documentation

4. Rules: More Doesn't Mean Better

5. Score: Never Rest on Your Laurels

6. Score + Rules = Winning Strategy

7. Fraud: It Is Everyone's Problem

8. Continual Assessment Is the Key

9. Fraud Control Systems: If They Rest, They Rust

10. Continual Improvement: The Cycle Never Ends

Summary

Chapter 5 It Is Not Real Progress Until It Is Operational

The Importance of Presenting a Solid Picture

Building an Effective Model

Summary

Chapter 6 The Chain Is Only as Strong as Its Weakest Link

Distinct Stages of a Data-Driven Fraud Management System

The Essentials of Building a Good Fraud Model

A Good Fraud Management System Begins with the Right Attitude

Summary

Chapter 7 Fraud Analytics: We Are Just Scratching the Surface

A Note about the Data

Data

Regression ...

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