Bank Fraud : Using technology to combat losses

Christophe BARDY - GRACES community
5/1/2022
Propulsé par Virginie
Cet article est réservé aux membres GRACES.community

Bank Fraud Using Technology to Combat Losses

by Revathi Subramanian

WILEY

Content

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

  • Data: Garbage In; Garbage Out
  • No Documentation? No Change!
  • Key Employees Are Not a Substitute for Good Documentation
  • Rules: More Doesn’t Mean Better
  • Score: Never Rest on Your Laurels
  • Score + Rules = Winning Strategy
  • Fraud: It Is Everyone’s Problem
  • Continual Assessment Is the Key
  • Fraud Control Systems: If They Rest, They Rust
  • 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 1
  • Logistic Regression 1
  • “Models Should Be as Simple as Possible, But Not Simpler”
  • Summary

Chapter 8 The Proof of the Pudding May Not Be in the Eating

  • Understanding Production Fraud Model Performance
  • The Science of Quality Control
  • False Positive Ratios
  • Measurement of Fraud Detection against Account False Positive Ratio
  • Unsupervised and Semisupervised Modeling Methodologies
  • Summary

Chapter 9 The End: It Is Really the Beginning!

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