Technical Issues in General Insurance
The presentation will cover a summary of my findings over the past few years of working on the boundary between data science and actuarial. I will describe and review several data science approaches and discuss their relevance and use in actuarial pricing. I will present a list of recommendations ranked by reward/effort. Examples presented will be based on the R statistical language but the presentation will not be code-heavy, more a discussion of approaches and techniques, and importantly, what we can learn from our colleagues in the data science field.
Approaches discussed will include:
- Exploratory Data Analysis ("EDA")
- Clustering and Dimensionality Reduction
- GAM's and GLM's
- Using machine learning models even if legacy-constrained
- Automation and the cloud.
Much discussion is around GLM's and related techniques but examples from commercial lines will also be included, where the issues of data paucity and accuracy are more important.
Speaker: Matthew Evans, EMC Actuarial and Analytics
Contact Niki Park for more information.
020 7632 2152
This webinar will be streamed from 12.00-13.00. There will be time at the end of the session for Q&A.
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