Michael Koller at #RAW2022 – Using Markov Chain decision trees to mitigate risk, case study in Python

The aim is to provide to the audience a tool to define risk mitigation strategies based on Markov chain decision trees. This is an extension of Thiele difference equation. The talk involves theory, example and implementation in python. Example you have a disability insurance and options (at a monetary cost) to reintegrate people in the working process. Which spend is optimal? This concept is easily extendible to a variety of questions.



PhD in Mathemstics; Professor; Pension Scheme expert and actuary – Lecturer at ETH Zurich since 1995 – CRO at Swiss Life 1993-2004 – Chief Regulatory officer at Swiss Re 2005-2006 – Chief Actuary Partner Re 2006- 2007 -CRO at AVIVA Europe 2007-2011 – Risk Director at Prudential plc 2011-2020 – CRO at Amlin AG since 2021 – NED Sanitas and Sabre

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Управление рисками

В этом коротком и очень увлекательном курсе, Алексей Сидоренко расскажет о причинах внедрения риск менеджмента, об особенностях принятия управленческих решений в ситуации неопределенности и изменениях в новом стандарте ИСО 31000:2018.


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