How might Early Warning enhance its Real-Time Payment Risk Score to better detect emerging fraud patterns in digital transactions?

Introduction

To enhance Early Warning's Real-Time Payment Risk Score for better fraud detection in digital transactions, we need to analyze current capabilities, identify gaps, and propose innovative solutions. I'll explore user segments, pain points, and potential improvements to create a more robust fraud detection system.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking about the current performance of the Risk Score. Could you share some key metrics on its accuracy and false positive rates?

Why it matters: Determines the baseline for improvement and helps identify specific areas of focus. Expected answer: 85% accuracy with a 5% false positive rate. Impact on approach: Would focus on reducing false positives if the rate is high, or improving detection of new fraud patterns if accuracy is already strong.

• Considering user behavior, I'm curious about the types of transactions where fraud is most prevalent. What are the top 3 transaction categories where fraud is detected most frequently?

Why it matters: Helps prioritize which transaction types to focus on for improvement. Expected answer: P2P transfers, online purchases, and new account openings. Impact on approach: Would tailor solutions to address specific vulnerabilities in these transaction types.

• Thinking about external factors, how has the competitive landscape evolved recently? Are there any new entrants or technologies disrupting the fraud detection space?

Why it matters: Identifies potential threats and opportunities for innovation. Expected answer: Increased competition from AI-driven startups offering real-time fraud detection. Impact on approach: Would emphasize incorporating cutting-edge AI and machine learning techniques in the solution.

• Considering company alignment, what are the key business objectives driving this improvement initiative? Are we prioritizing reducing fraud losses, improving user experience, or expanding to new markets?

Why it matters: Ensures the proposed solutions align with broader company goals. Expected answer: Primary focus on reducing fraud losses while maintaining a smooth user experience. Impact on approach: Would balance fraud detection improvements with minimal friction for legitimate users.