East Baton Rouge Parish Library

Practical fraud prevention, fraud and AML analytics for Fintech and eCommerce, using SQL and Python, Gilit Saporta and Shoshana Maraney

Label
Practical fraud prevention, fraud and AML analytics for Fintech and eCommerce, using SQL and Python, Gilit Saporta and Shoshana Maraney
Language
eng
Bibliography note
Includes bibliographical references and index
Illustrations
illustrations
Index
index present
Literary Form
non fiction
Main title
Practical fraud prevention
Nature of contents
bibliographydictionaries
Oclc number
11304813640
Responsibility statement
Gilit Saporta and Shoshana Maraney
Sub title
fraud and AML analytics for Fintech and eCommerce, using SQL and Python
Summary
Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their fraud-fighting experience to provide best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities. Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in this ever-changing fraud landscape. With this book, you will: Examine current fraud attacks and learn how to mitigate them Find the right balance between preventing fraud and providing a smooth customer experience Share insights across multiple business areas, including ecommerce, banking, cryptocurrency, anti-money laundering, and ad tech Evaluate potential risks for a new vertical, market, or product Train and mentor teams by boosting collaboration and kickstarting brainstorming sessions Get a framework of fraud methods, fraud-fighting analytics, and data science methodologies