European University Institute Library

Bank fraud, using technology to combat losses, Revathi Subramanian

eng

chartsillustrations

index present

non fiction

Bank fraud

865543869

Revathi Subramanian

Wiley and SAS business series, 25

using technology to combat losses

"Capitalize on technology to halt bank fraudExamining the technology that is needed to combat bank fraud, Bank Fraud: Using Technology to Combat Losses equips corporate security and loss prevention managers with the necessary tools to determine an organization's unique technology needs. Looks at the technology needed to handle data intelligence Provides guidance to assess the technology necessary to battle fraud Features unique coverage of the history of fraud detection and prevention in banking Explores the challenges of fraud detection in a financial services environment; understanding corporate risk exposure; losses per assets; trending over time; benefits of technology Focusing on the financial crimes and insider frauds in operation nationally and internationally, Bank Fraud: Using Technology to Combat Losses arms fraud prevention professionals with authoritative guidance to detect and prevent such crimes in future"--, Provided by Publisher

ch. 1 Bank Fraud: Then and Now -- The Evolution of Fraud -- The Evolution of Fraud Analysis -- Summary -- ch. 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 -- ch. 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 -- ch. 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 -- Fraud Control Systems: If They Rest, They Rust -- 10. Continual Improvement: The Cycle Never Ends -- Summary -- ch. 5 It is Not Real Progress Until It Is Operational -- The Importance of Presenting a Solid Picture -- Building an Effective Model -- Summary -- ch. 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 -- ch. 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 -- ch. 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 -- ch. 9 The End: It is Really the Beginning!

adult