Contents
Chapter 1 Bank Fraud: Then and Now
The Evolution of Fraud Analysis
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
Chapter 3 In God We Trust. The Rest Bring Data!
Data Analysis and Causal Relationships
Behavioral Modeling in Financial Institutions
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
Chapter 5 It Is Not Real Progress Until It Is Operational
The Importance of Presenting a Solid Picture
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
Chapter 7 Fraud Analytics: We Are Just Scratching the Surface
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