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Index
Introduction to Online Payments Risk Management
Introduction to Online Payments Risk Management
Ohad Samet
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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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