Risk Quantification imparts a sound understanding of the tools available for assessing exposure to risk: quantifying both the probability of the event, frequency of the event or the likeliness of it occurring. Like other risk management approaches, this book uses a multi-step framework based on quantification and financing, however here the authors focus on quantification as the essential component of the process rather than management. The book also incorporates timely information on operational decisions, internal ownership of risks and corporate governance. The first part of the book describes the foundations of risk management as a 3-step process: diagnosis, reduction and financing. It shows why quantifying risk is crucial in all steps and discusses a practical approach to the problem based on experience rather than statistical analysis. Part two gives a tried and tested tool box for quantifying risk, it gives score cards for key risk indicator assessments, Monte Carlo simulation for the risk generating process and Bayesian belief networks for synthesis. Part three shows how to apply the toolbox to the three steps of risk management illustrated with case studies.