Show Notes
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#Fraudpreventionproductdesign #SQLtransactionanalytics #Pythonfraudworkflows #Falsepositivemanagement #Antimoneylaunderingmonitoring #PracticalFraudPrevention
Practical Fraud Prevention: Fraud and AML Analytics for Fintech and eCommerce, Using SQL and Python is a technical and operational guide by fraud specialist Gilit Saporta, published by O Reilly in 2022. Positioned between fraud strategy, data analytics, and product practice, the book addresses the practical task of protecting digital financial and commerce services without unnecessarily blocking legitimate customers. Its central premise is that fraud prevention should be built into products and operating processes rather than treated as an isolated review function. The book focuses on the analytical work behind online fraud and anti money laundering programs, with SQL and Python presented as accessible tools for examining transaction, customer, and behavioral data. Rather than promising a single detection model, it emphasizes how teams can investigate changing patterns, formulate controls, measure outcomes, and improve decisions over time. The intended readership includes fraud analysts, risk practitioners, data professionals, product managers, and fintech operators who need a grounded view of how analytical fraud controls work in live digital environments.