Mensys Online Shop

Introduction to Online Payments Risk Management - eBook (EPUB)

Category:General - eBooks By:O'REILLY MEDIA
Author(s):Samet, OhadPages:84
Year of publication:2013 

If you've been tasked with building a team to handle risk management for online payments (RMP), this practical introduction provides a framework for choosing the technologies and personnel you need. Author and financial services executive Ohad Samet explains the components of payments risk management, and presents a coherent strategy and operational approach.

You'll learn the answers to questions you're likely to encounter in the first 18 months of operation, with information that  » Read more...

Introduction to Online Payments Risk Management - eBook (EPUB)

Select one or more articles and then press Order. Quantities can be changed on the next page.
 Introduction to Online Payments Risk Management
Partnr.DescriptionEuro *US$Euro incl. VAT 
9781449368913 Introduction to Online Payments Risk Management 1ed. EPUB30.00.000.00

All prices are in EUR excl. VAT (21%, for books 9%) and excl. shipping.
E-mail or call us at +31 85 40 19 16 0 for licences, upgrades and other questions.

If you've been tasked with building a team to handle risk management for online payments (RMP), this practical introduction provides a framework for choosing the technologies and personnel you need. Author and financial services executive Ohad Samet explains the components of payments risk management, and presents a coherent strategy and operational approach.

You'll learn the answers to questions you're likely to encounter in the first 18 months of operation, with information that Samet has shaped and tested over several years in the industry. This book is ideal whether you intend to be a one-person task force or work with dozens of agents and analysts.

  • Use both a portfolio and behavioral approach to analyzing and optimizing losses
  • Learn about your customers to determine if they can and will meet obligations
  • Build an RMP team for payment risk operations, analytics, and decision automation
  • Use linking mechanisms and velocity models to detect unusual activity among your customers
  • Design system and data architecture to facilitate your activity analysis
  • Implement the decision and loss-reduction mechanisms you need to act on your findings