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
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

Practical Fraud Prevention: Fraud and AML Analytics for Fintech and eCommerce, Using SQL and Python
394
Practical Fraud Prevention: Fraud and AML Analytics for Fintech and eCommerce, Using SQL and Python
394Product Details
ISBN-13: | 9781492093329 |
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Publisher: | O'Reilly Media, Incorporated |
Publication date: | 05/17/2022 |
Pages: | 394 |
Product dimensions: | 7.00(w) x 9.19(h) x (d) |