Operational Risk Management

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.

To remain viable, let alone competitive, organizations must manage risks. In this book, we explore the concept of operational risk as well as the mechanisms used to diminish the impact and occurrence of risks: the organizational control system. Since the scope and scale of operational risks are unique to each organization, our objective is to explain the theory behind why and how managers respond to the unique combination of threats that challenge their organization. We emphasize employee management and the complexities surrounding the design of management controls, incentive systems in particular, because risks related to employee actions are faced by virtually every organization. Overall, we provide empirically grounded insights into the process of diagnosing operational risks as well as designing, implementing and maintaining a control system that properly manages those risks.

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.

Identify, assess, and mitigate operational risk with this practical and authoritative guide In the newly revised second edition of Operational Risk Management: A Complete Guide for Banking and Fintech, accomplished risk executive and expert Philippa Girling delivers an insightful and practical exploration of operational risk in organizations of all sizes. She offers risk professionals and executives the tools, strategies, and best practices they need to mitigate and overcome ever-present operational risk challenges that impact business in all industries. This latest edition includes: Insight into how operational risk can be effectively managed and measured in today's digital banking age. Updates on the latest regulatory guidance on operational risk management requirements in all aspects of the operational risk framework. Updates on the new Basel II capital modeling methodology for operational risk. New explorations of operational risk events in recent years including the impact of the global Covid-19 pandemic. Updated case studies including large events at Wells Fargo, Credit Suisse and Archegos Capital Management. Ideal for executives, managers, and business leaders, Operational Risk Management is also the perfect resource for risk and compliance professionals who wish to refine their abilities to identify, assess, mitigate, and control operational risk.

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.

There is a growing awareness across both public and private sectors, that the key to embedding an effective risk culture lies in raising the general education and understanding of risk at every level in the organization. This is exactly the purpose of David Tattam's book. A Short Guide to Operational Risk provides you with a basic yet comprehensive overview of the nature of operational risk in organizations. It introduces operational risk as a component of enterprise wide risk management and takes the reader through the processes of identifying, assessing, quantifying and managing operational risk; explaining the practical aspects of how these steps can be applied to an organization using a range of management tools. The book is fully illustrated with graphs, tables and short examples, all designed to make a subject that is often poorly understood, comprehensible and engaging. A Short Guide to Operational Risk is a book to be read and shared at all levels of the organization; it offers a common understanding and language of risk that will provide individual readers with the basis to develop risk management skills, appropriate to their role in the business. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

Operational Risk Management offers peace of mind to business and government leaders who want their organizations to be ready for any contingency, no matter how extreme. This invaluable book is a preparatory resource for when times are good, and an emergency reference when times are bad. Operational Risk Management is destined to become every risk manager?s ultimate weapon to help his or her organization survive ? no matter what.

Taking into account the standards of the Basel Accord, Operational Risk Modelling and Management presents a simulation model for generating the loss distribution of operational risk. It also examines a multitude of management issues that must be considered when adjusting the quantitative results of a comprehensive model. The book emphasizes techniques that can be understood and applied by practitioners. In the quantitative portions of the text, the author supplies key concepts and definitions without stating theorems or delving into mathematical proofs. He also offers references for readers looking for further background information. In addition, the book includes a Monte Carlo simulation of risk capital in the form of a run-through example of risk calculations based on data from a quantitative impact study. Since the computations are too complicated for a scripting language, a prototypical software program can be downloaded from www.garrulus.com Helping you navigate the tricky world of risk calculation and management, this book presents two main building blocks for determining how much capital needs to be reserved for operational risk. It employs the loss distribution approach as a model for calculating the risk capital figure and explains risk mitigation through management and management’s actuations.