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Index
Introduction to Online Payments Risk Management Introduction to Online Payments Risk Management
Ohad Samet Special Upgrade Offer Preface Why Was This Book Written, and Who Is It For? Acknowledgements
Part I. Background and Theory
Chapter 1. What Is Risk Management in Payments? Chapter 2. What Problem(s) Are We Trying to Solve? Optimizing Risk with a Solution-Based Approach Why Talk About Loss and Not Fraud? Chapter 3. The Two Leading Approaches to the Analysis and Optimization of Losses The Portfolio Approach The Behavioral Approach Which of These Methods Works Better? Chapter 4. How Should We Describe and Understand Behavior? Remember: People Make Mistakes Putting the Framework to Use
Part II. Organization and People
Chapter 5. The Goals and Functions of a Payments Risk Management Team What Does a Payments Risk Management Organization Do? Payment Risk Operations: Making Sure You Run Smoothly Decision Automation: Allowing You to Scale Analytics: Making Sure You Know What’s Going On Product Management: Bridging a Rather Narrow Gap Chapter 6. Hiring for Your RMP Team Some Important Comparison Points What If I Don’t Have Anyone? Hiring Your First Operator
Part III. Tools and Methods
Chapter 7. Detection: Figuring Out that Something Is Wrong Measuring Performance
Measuring Offset Performance: Time-Based Cohorts What Should You Measure?
Measure Your Defaults Measure Your Recovery Measure Your Rejections Measure Ops Performance
What’s “Normal” Performance?
Defaults Rejections Operations Performance
Detecting that “Something” Is Happening
Incoming Complaints Inflow Linking
Some Linking Terminology How Complex Should Your Linking Be?
Velocity
Some Velocity Terminology Baselining Iterative Analysis Individual Merchant/Consumer Velocity Models General Outlier Detection Models
Chapter 8. Analysis: Understanding What’s Going On Designing for Analysis
Instrumentation and Data Retention Data Latency and Transformation Control Groups
Best Practices for Ongoing Analysis
Automated Segmentation and Tagging Root Cause Analysis
Chapter 9. Action: Dealing with Your Findings Manual Review The Variable Library The Review GUI
Main Consideration in GUI Design
Decision Fatigue System Responsiveness Data Assimilation
The Rules Engine
Basic Functionality Requirements Performance Simulation Performance Monitoring
Automated Decision Models
What Are You Predicting? Which Algorithms Should You Use? Model Time to Market (TTM) The Feedback Loop
Product and Experience Modifications
In-Flow Challenges User Experience Changes Proactive Risk Management
When Things Go Wrong: Dispute Resolution
User Experience Design Back Office Efficiency
Setting Up Your Team and Tools
Buy vs. Build Which Vendors Should You Look For?
Should You Buy an Off-the-Shelf Risk System? Detection Vendors and Social Data Must-Have Tools and Data Sources
Don’t Forget Domain Expertise
Epilogue About the Author Special Upgrade Offer
Introduction to Online Payments Risk Management
Ohad Samet
Editor
Meghan Blanchette
Editor
Mike Loukides
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