EAA Web Session: Practical Machine Learning Applications in Finance and Insurance

The objective of this web session is that participants should become familiar with machine learning techniques used to solve practical problems in finance, banking and insurance. To achieve this we begin from the scratch and introduce machine learning workflows and techniques step by step: To start with, we give an overview of this interesting field with the primary focus on several techniques such as neural networks, among others. The key for an efficient application is the way of training machine learning algorithms and thus we focus our attention on this optimization as well. We strengthen our learned knowledge by focusing on several case studies: We consider an example within the Solvency II context such as implementing an internal model to calculate the Solvency Capital Requirement (SCR), but also applications to financial market such as option pricing by Monte Carlo methods or trading strategies. During our complete web session we learn how the introduced algorithms can be implemented so that the participants are able to build up their own use cases in Python at the end.

Registration deadline: 14 March. 2022