Transcription of Fraud Detection Using Data Analytics in the Banking Industry
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Fraud Detection Using Data Analytics in the Banking Industry
DISCUSSION WHITEPAPER Fraud Detection Using data Analytics in the Banking Industry2 DISCUSSION PAPERT able of ContentsWHAT IS Fraud ? ..3 WHO IS RESPONSIBLE FOR Fraud Detection ? ..3 WHY USE data ANALYSIS FOR Fraud Detection ? ..4 ANALYTICAL TECHNIQUES FOR Fraud Detection ..5 Fraud Detection PROGRAM STRATEGIES ..5 Banking ..6 Banking RELATED Fraud SCHEMES: ..6 Corruption .. 6 Cash ..6 Billing ..6 Check Tampering ..6 Skimming ..7 Larceny ..7 Financial Statement Fraud ..7 OTHER RESOURCES ..7 ABOUT ACL ..83 DISCUSSION PAPERWhat is Fraud ? Fraud encompasses a wide range of illicit practices and illegal acts involving intentional deception or misrepresentation. The Institute of Internal Auditors International Professional Practices Framework (IPPF) defines Fraud as.
6 ISCSSI PAPER Banking Fraud detection in banking is a critical activity that can span a series of fraud schemes and fraudulent activity from bank employees and customers alike.
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