Fighting Account Opening and Application Fraud with Machine Learning: A Blueprint for Retail Banks

Retail banks face unique challenges at the point of account opening. There’s a “thin-file problem” due to gaps in historic data, and bad digital experiences as customers travel between silos. It’s no surprise that 74% of financial institutions stated having multiple independent projects underway to improve customer experience.

How can banks increase application acceptance while also reducing fraud? Feedzai has a new ebook with practical advice for overcoming the challenges of account opening, with a risk management blueprint that integrates identity checks, eligibility risk scoring, and transaction monitoring.

Read this ebook and learn:

  • How to build a complete view of the customer that reduces fraud
  • Why machine learning identifies fraud patterns that evade the human eye
  • How a top US bank increased account opening rates by 74% with zero new fraud

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