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OverviewPractitioner manual to operational risk blending contemporary challenges with case studies Managing Operational Risk in a Changing World is both a practitioner's manual and a classroom text that blends nearly 40 years of frontline experience with emerging themes that define today's risk landscape, from climate change and ESG to AI, DE&I, cyber threats, and pandemics. Unlike existing titles that focus on defining operational risk or recounting its history, this book is organized around contemporary challenges, showing how frameworks and methodologies can be applied in practice. The book contains interviews with industry veterans, from Barings to Silicon Valley Bank, who share their perspective and strategy for managing operational risk. In Managing Operational Risk in a Changing World, readers will find insights on: Recent regulations focused on managing emerging risks, such as the Digital Operational Resilience Act (DORA) Firewalls, intrusion detection systems, and encryption as critical elements in a robust approach to cyber risk management Data governance and data controls—checking and cleaning up erroneous data, and performing independent reviews Operational risks associated with geopolitical events, including people, processes, technology, and external factors The operational risk discipline is in flux, with regulators raising expectations and new risks constantly surfacing. Managing Operational Risk in a Changing World is required reading for all OpRisk professionals, academics, and students seeking to stay ahead of the curve. Full Product DetailsAuthor: Penny CaganPublisher: John Wiley & Sons Inc Imprint: John Wiley & Sons Inc ISBN: 9781394421619ISBN 10: 1394421613 Pages: 352 Publication Date: 28 April 2026 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Forthcoming Availability: Awaiting stock Table of ContentsContents Acknowledgments xiii Intoduction to Operational Risk Book 1 Operational Risk at a Crossroads 1 Chapter 1 The History and Importance of Operational Risk 3 The Definition of Operational Risk 3 The Impact of the Barings PLC Unathorized Trading Event 5 The Introduction of Basel II and Operational Risk Capital Adequacy 5 The Language of Operational Risk 8 Basel III Endgame 9 Significant Unauthorized Trading Events 11 Chapter 2 Managing Operational Risk in the New World Order 19 Managing Through the Great Challenges of Our Time 19 Managing Operational Risks Associated with Geopolitical Events 21 Communicating Operational Risks 27 Interview with Industry Veteran on Managing Operational Risk and Compliance: Mike Silva 28 Chapter 3 Building the Team for Today and Tomorrow Across the Lines of Defense 33 Managing Operational Risk Across the Lines of Defense 33 General vs. Specialist Roles 36 The Composition of Operational Risk Teams 37 Interview with Industry Veteran on First-Line Risk Management: Aarona Chou 38 Chapter 4 Making It Real: Developing a Framework for the Real World 43 The Operational Risk Framework Is Only as Effective as Its Implementation 44 Elements of the Framework 46 Governance 46 Policies and Procedures 47 Risk Appetite 48 Key Risk Indicators 49 Loss Data 50 Risk and Control Assessment 51 Scenario Analysis 52 Issue Management 53 Monitoring and Reporting 54 Culture and Awareness 55 Chapter 5 Managing Operational risk appetite and Key Risk Indicators 59 Definitions 60 Considerations When Managing Risk Appetite 60 Risk Appetite Framework 62 Integration with Operational Risk Program Components 66 Key Risk Indicators 67 Chapter 6 Developing and Deploying Risk Assessments 73 Risk and Control Self-Assessment Overview 73 Governance: Defined Roles and Responsibilities 75 Communication Plan 78 Leveling Up: Determining Risk Assessment Units 79 The Perspective: Top Down and Bottom Up 81 Technology Enablement 84 Methodology: Rating Risks and Controls 86 Process Mapping 93 The Trigger-based Approach 94 Remediation 96 Reporting on the Results 98 Chapter 7 Internal and External Loss Data 103 Types of Loss Data 105 Roles and Responsibilities 106 Framework and Methodology 107 Internal Loss Data 108 Stage 1: Identify 109 Stage 2: Assess 113 Stage 3: Mitigate 116 Stage 4: Monitor 116 Stage 5: Report 117 External Data 118 Citibank Revlon Bond Case Study 120 Chapter 8 Setting Up the Guardrails: Operational Risk Governance 123 Risk Culture 124 Training 127 Conduct Risk 127 Policies and Frameworks 131 Governance 134 Risk Committees 135 Interview with Industry Veteran: Maureen Day 138 Wells Fargo Pays USD $7.57 Billion in Penalties and Redress Over Retail Customer Violations 141 Chapter 9 The Fourth Line: Managing Regulatory Risks 151 The Regulatory Climate 151 Managing Regulatory Relationships 155 Tracking Regulatory Changes 158 Regulatory Expectations 159 The Four Lines of Defense Model 160 Seeking Help 161 Confidential Supervisory Information 162 Interview with Industry Veteran on Managing Regulatory Risk: Tom Balogh 164 Chapter 10 It Could Happen Here: On Developing Scenarios 169 The Scenario Program 172 The Scenario Framework 172 Governance and Framework 172 Preparation 175 Facilitation 176 Scenario Workshop 178 Reporting and Alignment 179 Scenario Examples 182 Interview with Industry Veteran on the Use of Scenarios: Evan Sekeris 184 Chapter 11 Know Your Process: Managing Execution Risks 191 Managing Through the Operational Risk Framework 194 Governance 195 Policies and Procedures 195 Risk Appetite and Key Risk Indicators 196 Loss Data, Incidents, Escalations, and Issue Management 198 Risk and Control Assessment 199 Scenario Analysis 202 Monitoring and Reporting 204 Culture and Awareness 204 Payments 205 Boeing Case Study 206 Citigroup Fat Finger Case Study Courtesy of IBM 209 Chapter 12 Managing Change, and Product and Service Risk 219 Change Management 219 Lifecycle 222 Change Initiative Risk Assessment 225 Roles and Responsibilities 227 Waterfall vs. Agile 227 Success Criteria 228 Products and Services Change Initiatives 229 U.S. Regulatory Guidance 231 Chapter 13 Managing Data Risk, AI, and Machine Learning 239 Data Risk Management Framework 241 Governance and Policies and Procedures 244 Risk Appetite and Key Risk Indicators 245 Loss Data 246 Risk and Control Assessments and Maturity Assessment 247 Scenario Analysis 248 Monitoring and Reporting 250 Cultural Awareness 250 AI and Machine Learning 250 Data Is Foundational to AI and Machine Learning 252 AI-Specific Operational Risks 253 Using AI to Manage Risk 254 Interview with Industry Veteran on Data and Machine Learning: Jae Kang 256 Chapter 14 Managing Cyber Risk 261 A Tale of Two Attacks 262 Cyber Frameworks 263 Aligning NIST to an Operational Risk Framework 271 Strong Cyber Practices 274 Interview with Industry Veteran: Alicja Cade 275 United Healthcare Case Study Courtesy of IBM 280 Chapter 15 Managing Third-Party Risk 291 Third-Party Risk Management Framework 292 Planning (Including Governance) 293 Due Diligence and Third-Party Selection 296 Contract Negotiation 298 Ongoing Monitoring 299 Termination 300 Interview with Industry Veteran: Jeannie Pumphrey 303 Chapter 16 Managing Fraud 307 Managing Internal and External Fraud 308 Fraud Risk Management Frameworks 311 JPMorgan London Whale Case from O.R.X: An Example of internal Fraud 318 JPMorgan Pays USD $950 Million in Fines and Settlement After “London Whale” Trading Losses of Up to USD $6.25 Billion 318 Index 323 The Introduction of Basel II and Operational Risk Capital Adequacy 5ReviewsAuthor InformationPENNY CAGAN is a Senior Risk Advisor, where she leads client-facing risk and control engagements with financial institutions. Previously, she served as Managing Director and Head of Operational Risk for UBS Americas and Head of Operational Risk and Governance at MUFG Americas. She founded one of the first operational risk databases, which became an industry standard. Her contributions have earned her Outstanding Contribution to Operational Risk and Ten Years of Excellence awards from Operational Risk & Regulation Magazine. She teaches as a part-time adjunct faculty member in Columbia University’s Enterprise Risk Management Master’s program and at NYU’s Management and Analytics Master’s Program. Tab Content 6Author Website:Countries AvailableAll regions |
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