Practical Fraud Prevention: Fraud and AML Analytics for Fintech and eCommerce, using SQL and Python

E-commerce and fintech industries have become a breeding ground for fraud, and this book provides best practices, methodologies, and tools to help organizations detect and prevent fraud and other malicious activities. It examines current fraud attacks and learns how to mitigate them, finds the right balance between preventing fraud and providing a smooth customer experience, shares insights across multiple business areas, evaluates potential risks for a new vertical, market, or product, trains and mentors teams, and provides a framework of fraud methods and fraud-fighting analytics.

Format: Paperback / softback
Length: 350 pages
Publication date: 31 March 2022
Publisher: O'Reilly Media, Inc, USA

Over the past two decades, the booming e-commerce 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 experience of fraud fighting to provide best practices, methodologies, and tools to help your organization 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 analytic methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in the 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 e-commerce and banking. Evaluate potential risks for a new vertical, market, or product. Train and mentor teams by initiating hackathons and kickstarting brainstorming sessions. Get a framework of fraud methods and fraud-fighting analytics.

Weight: 678g
Dimension: 177 x 231 x 24 (mm)
ISBN-13: 9781492093329