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A best practices guide to all of the elements of an effective operational risk framework While many organizations know how important operational risks are, they still continue to struggle with the best ways to identify and manage them. Organizations of all sizes and in all industries need best practices for identifying and managing key operational risks, if they intend on exceling in today's dynamic environment. Operational Risk Management fills this need by providing both the new and experienced operational risk professional with all of the tools and best practices needed to implement a successful operational risk framework. It also provides real-life examples of successful methods and tools you can use while facing the cultural challenges that are prevalent in this field. Contains informative post-mortems on some of the most notorious operational risk events of our time Explores the future of operational risk in the current regulatory environment Written by a recognized global expert on operational risk An effective operational risk framework is essential for today's organizations. This book will put you in a better position to develop one and use it to identify, assess, control, and mitigate any potential risks of this nature.
TEN LAWS OF OPERATIONAL RISK Unlike credit and market risk, operational risk currently lacks an overarching theory to explain how and why losses occur. As a result, operational risk managers have been forced to use unsatisfactory tools and processes that fail to add sufficient commercial value. In Ten Laws of Operational Risk: Understanding its Behaviours to Improve its Management, Michael Grimwade delivers an insightful discussion of the nature of operational risk and a groundbreaking redesign of the profession???s existing tools. The author???s Ten Laws are grounded on the business profiles of firms and the human and institutional behaviours that drive operational risk. They are underpinned by taxonomies for the causes; the inadequacies or failures that constitute both control failures and events; and the impacts of operational risks. Drawing on twenty-five years of first-hand experience and research, this book explains the patterns and trends that are apparent in the historical data and offers solutions to the persistent problems inherent in risk appetite, RCSAs, scenario analysis, reputational risk, stress testing, capital modeling, and insurance. It also provides fresh insights into the everyday activities of risk managers with respect to predictive key risk and control indicators, root cause analysis, why controls fail, the risks posed by change, and product risk profiles. Ten Laws of Operational Risk presents a structured and evidence-based approach to identifying emerging risks and predicting future behaviours related to pandemics, climate change, cybercrime, artificial intelligence, and machine learning. It includes revealing industry data, in-depth case studies, and real-world examples that shed light on recurring and obstinate problems in operational risk management. A must-read resource for Chief Risk Officers and other risk professionals, as well as regulators, management consultants, and students and scholars of operational risk, Ten Laws of Operational Risk provides an invaluable new, systematic, and rigorous approach to operational risk management. PRAISE FOR TEN LAWS OF OPERATIONAL RISK ???Operational Risk can no longer be described as a new concept, but as a discipline few attempts have been made to really understand its behaviour. In his book Michael does this very successfully, blending extensive practical experience with analytical thought leadership to propose a set of laws that explain why and how Operational Risks arise, and what can be done to manage them. Assertions are evidence based, with numerous real examples used to underpin his hypotheses. This is a valuable addition to Operational Risk thinking and is recommended for experienced professionals and novices alike.??? ??? Dr Luke Carrivick, Director of Research & Information, ORX ???Michael has established himself as one of Operational Risk???s foremost thinkers. His ability to use historical data to analyse events is unrivalled. In this must-read book, he identifies ten fundamental laws that provide every Operational Risk practitioner with a clear set of rules they can use to understand current events and predict their impacts.??? ??? Andrew Sheen, former Head of the FSA???s Operational Risk Review team ???Michael is one of the most prominent thinkers in Operational Risk. He combines a long career in Operational Risk management and measurement with a deep, long-standing reflection on the fundamental causes, dynamics and patterns in the manifestation of Operational Risk events. He produces, with this book, a remarkable synthesis of his insightful and innovative work.??? ??? Dr Ariane Chapelle, Honorary Reader, University College London; Managing Partner, Chapelle Consulting ???Michael is a highly respected expert in the field of Operational Risk, who has developed some ground-breaking frameworks for analysing this risk and guiding better risk management decisions. As a working practitioner in the field he brings many insights that will appeal to other practitioners as well as regulators, students and scholars.??? ??? Professor Elizabeth Sheedy, Macquarie Business School ???Michael???s views and analysis challenge the traditional Basel II views of Operational Risk and are genuinely thought-provoking. His book on the Ten Laws of Operational Risk will give financial services clarity and a practical view, where it has been previously lacking, on how best to manage such risks.??? ??? Tin Lau, Group Head of Financial and Strategic Risk, TP ICAP
Operational risk is possibly the largest threat to financial institutions. In this book, the focus is on an alternative to the existing efforts: to improve operational risk management that is more effective, efficient and satisfying. It prescribes and explains a highly structured approach for operational risk management.
Grasp the key principles of managing operational risk and learn the value of ORM in protecting organizations from threats and losses.
OpRisk Awards 2020 Book of the Year Winner! The Authoritative Guide to the Best Practices in Operational Risk Management Operational Risk Management offers a comprehensive guide that contains a review of the most up-to-date and effective operational risk management practices in the financial services industry. The book provides an essential overview of the current methods and best practices applied in financial companies and also contains advanced tools and techniques developed by the most mature firms in the field. The author explores the range of operational risks such as information security, fraud or reputation damage and details how to put in place an effective program based on the four main risk management activities: risk identification, risk assessment, risk mitigation and risk monitoring. The book also examines some specific types of operational risks that rank high on many firms' risk registers. Drawing on the author's extensive experience working with and advising financial companies, Operational Risk Management is written both for those new to the discipline and for experienced operational risk managers who want to strengthen and consolidate their knowledge.
Well publicised failures in risk management have appeared with shocking frequency over the past few years. Affected firms can suffer significant commercial damage or even bankruptcy as a result. Only now is there a growing realisation that risk management is a key management responsibility. This book will help turn your firm into a 'risk aware' organization which will be able to avoid catastrophic loss. It will also enable senior management to make better strategic and operational decisions, thanks to an informed understanding of business hazards. Case studies from a wide cross section of different firms and markets are used to explain how to define, analyse and control operational risk. - An insightful guide to one of the key topics of modern strategic and operational management, written by a team of expert risk management professionals - Learn about the application of operational risk management to a wide range of market sectors, including commercial, retail and investment banking, investment management, insurance, the energy industry, telecommunications, manufacturing and logistics - Case studies and worked examples from around the world, including North America, Western Europe, South East Asia and Latin America
Risk management is one of the biggest issues facing the financial markets today. This volume outlines the major issues for risk management and focuses on operational risk as a key activity in managing risk on an enterprise-wide basis.
The Operational Risk Handbook for Financial Companies is a groundbreaking new book. It seeks to apply for the first time a range of proven operational risk techniques from other industries and disciplines to the troubled territory of financial services. Operational risk expert Brian Barnier introduces a range of sophisticated, dependable and - crucially - approachable tools for risk evaluation, risk response and risk governance. He provides a more robust way of gaining a better picture of risks, shows how to build risk-return awareness into decision making, and how to fix (and not just report) risks. The practical importance of fully understanding and acting on risk to the business begins in the foreword on plan-B thinking, penned by Marshall Carter, chairman of the NYSE and deputy chairman of NYSE Euronext. The book is unique because: - It is not just about modeling and a few basic tools derived from regulatory requirements. Instead, it looks at management of risk to operations across industries, professional disciplines and history to help ops risk leaders become aware of the entire landscape of proven experience, not just their own conference room. - It is not just about compliance. Instead, it looks to operations as part of performance - managing risk to return for shareholders and other interests (e.g. guarantee funds). - It is not content to look at risk in stand-alone segments or silos; instead it takes a systems approach. - It is not just about ops risk leaders sharing war stories at a conference. Instead, it introduces a panel of six financial institution board members who get risk management and provide their perspectives throughout the book to encourage/demand more from ops risk to meet the needs of the institution in the world. - It is not a semi-random collection of tips and tricks. Instead, it is grounded in a risk-management process flow tailored to financial companies from a range of proven experience, providing tools to help at each step. Suitable for companies of all sizes, this book is of direct relevance and use to all business managers, practitioners, boards and senior executives. Key insights from and for each are built into every chapter, including unique contributions from board members of a range of companies. The Operational Risk Handbook for Financial Companies is an essential book for making better decisions at every level of a financial company; ones that measurably improve outcomes for boards, managers, employees and shareholders alike.
"Managing Operational Risk" ist ein maßgeblicher Leitfaden zum Handling des operativen Risikos in Finanzinstituten. Als operatives Risiko bezeichnet man das Risiko für mögliche unerwartete Verluste, die auf Systemfehler, nicht adäquate interne Steuerungs- und Kontrollmechanismen sowie auf menschliches Versagen und höhere Gewalt zurückzuführen sind. Erläutert werden hier alle grundsätzlichen Fragen, angefangen bei einer ausführlichen Definition des Begriffs operatives Risiko, bis hin zu Entwurf und Implementierung anspruchsvoller Riskmanagement-Systeme. Darüber hinaus werden neueste Verfahren zur Erstellung von Computermodellen ebenso erörtert wie führende Methoden zur Integration von Legacy Systemen für die Bewertung und Erfassung operativer Risiken. "Managing Operational Risk" ist ein sachlich-prägnanter Ratgeber zur Bewertung und Minimierung des operativen Risikos. Geschrieben von Douglas Hoffman, einem international führenden Experten auf diesem Gebiet. Mit zahlreichen Fallstudien zu Spitzenfinanzinstitutionen weltweit.
Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of "near-misses" data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems.