A pocket guide to risk mathematics : key concepts every auditor should know

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He has worked alongside Michael Mainelli in innovative operational risk management work and is often called upon by clients to help find new solutions to tough problems.

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His background includes writing, psychology, mathematics, software development, audit, and accountancy. He spent 7 years as a controls specialist with PricewaterhouseCoopers, where he pioneered new methods for designing internal control systems for large scale business and financial processes, through projects for internationally known clients. Matthew learned design at an early age from his father, who is an architect and designer, and has pursued elegant, original solutions to important problems ever since.

Account Options Connexion. Afficher l'e-book. Matthew Leitch. This uniquely accessible, breakthrough book lets auditors grasp the thinking behind the mathematical approach to risk without doing the mathematics. Internal Audit Engagement Planning. Kaya Kwinana. Statistical Inference. Michael J. The Successful Frauditor's Casebook. Peter Tickner. Time Series Econometrics.

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Essential Strategies for Financial Services Compliance. Annie Mills. Analysing Economic Data. The Nature of Accounting Regulation. Ian Dennis. High Inherent risk. Homework Help Classof1. Bayesian Risk Management. Matt Sekerke. Reduced Forms of Rational Expectations Models. Robert Knechel.

Intelligent internal control and risk management : designing high-performance risk control systems

Foundations of Risk Analysis. Terje Aven.


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