Data-driven Operational Risk Management (Paperback)

Robert Scott Levine

Edité par Risk Books, 2008
ISBN 10: 1906348057 / ISBN 13: 9781906348052
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Language: English . Brand New Book. Most organisations currently rely on soft subjective op risk data such as self assessments. But objective measurements reflect a truer picture of risk. Using primary research, this practical report demonstrates how you can use hard data to improve your operational risk measurement. Robert Scott Levine tackles this data challenge based on in-depth knowledge gained as an experienced auditor, fraud examiner, data security manager and risk systems implementer. The core focus of the report is on how you can plan, implement and manage the available data sources for improved operational risk management. It also shows you how to maximise the rich internal and external data sources that are often overlooked.The practical examples given throughout the report clearly demonstrate the business benefits of operational risk management, beyond just the need for regulatory compliance. It also looks at the techniques that you can automate to produce early warning operational risk indicators. This book is highly recommended for operational risk practitioners, auditors, examiners and compliance staff who will benefit from learning how to pull in the right operational data and how to automate the collection, cleansing, aggregation, correlation and analysis processes to do your job more effectively. N° de réf. du libraire

A propos du livre :

Synopsis : Operational risk losses have famously led to the complete demise of financial institutions, with more than 100 reported losses exceeding US$100 million in recent years. This executive report demonstrates how to avoid such severe losses through improved operational risk data collection.

Most organisations currently rely on soft subjective op risk data such as self assessments. But objective measurements reflect a truer picture of risk. Using primary research, this practical report demonstrates how you can use hard data to improve your operational risk measurement.

Robert Scott Levine tackles this data challenge based on in-depth knowledge gained as an experienced auditor, fraud examiner, data security manager and risk systems implementer. The core focus of the report is on how you can plan, implement and manage the available data sources for improved operational risk management. It also shows you how to maximise the rich internal and external data sources that are often overlooked.

The practical examples given throughout the report clearly demonstrate the business benefits of operational risk management, beyond just the need for regulatory compliance. It also looks at the techniques that you can automate to produce early warning operational risk indicators.

Highly recommended for operational risk practitioners, auditors, examiners and compliance staff who will benefit from learning how to pull in the right operational data and how to automate the collection, cleansing, aggregation, correlation and analysis processes to do your job more effectively.

About the Author: Robert Scott Levine is an independent risk consultant and writer currently focusing on risk systems deployments, risk infrastructure design and building assurance and oversight processes. Before becoming a consultant, Robert was a vice president in charge of information protection at Bank of Tokyo-Mitsubishi North America. Prior to that he has worked with risk, trading, and financial systems design, control, and implementation at Reuters in New York, London, and Tel Aviv. Robert has also held audit management and senior staff positions at Deutsche Bank North America, Barclays Bank Plc, and other large financial institutions.

Robert publishes widely in business and technology journals. His current research interests include operational risk data sources, risk management in personal finance, and early warning indicators. Robert Scott Levine holds an MBA from Baruch College, City University of New York, a BS from New York University and is completing a doctorate in finance.

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Détails bibliographiques

Titre : Data-driven Operational Risk Management (...
Éditeur : Risk Books
Date d'édition : 2008
Reliure : Paperback
Etat du livre : New

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Robert Scott Levine
Edité par Risk Books (2008)
ISBN 10 : 1906348057 ISBN 13 : 9781906348052
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Robert Scott Levine
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