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Quantitative risk management
Read this article and discover how quantitative risk management can help you achieve your goals with causal models and methods.
About the content
Do you want to understand how to use causal models and quantitative methods to make better decisions? How about seeing a practical example of how to apply these concepts and techniques to a real-life problem?
Whether you are a financial risk analyst, a project manager, a regulator or a student of quantitative finance, this article will give you the practical tools and insights you need to solve real-world problems with quantitative risk management. Don't miss this opportunity to learn from an expert and improve your skills and knowledge.
In this article, Graeme Keith illustrates the principles and methods of quantitative risk management in a simple and intuitive way. Discover how quantitative risk management can help you achieve your goals.
About the author
Graeme Keith
Graeme Keith is an advisor in the application of quantitative methods to risk management, portfolio analysis and strategy. He is an expert in uncertainty quantification, decision modelling under uncertainty and causal inference. He is experienced in management as a leader of corporate strategy and risk management functions, and over 20 years of experience in applying mathematical modelling to business and policy decisions. He also has a PhD and post-doc in applied mathematics.
