Data Science

Juan Ignacio de Oyarbide discusses the outcomes of a motor insurance pricing game held in Saudi Arabia, and key lessons to emerge from it

Yafei (Patricia) Wang looks at the use of machine learning to predict underwriting decisions for life and health insurance

Is machine learning a threat to the underwriting practice? Reza Hekmat and Balint Bone consider this possibility and its challenges

Lisa Balboa, Maryse Nashime, Serena Soong and Joe Wilson assess how data use could help to progress actuarial understanding of mental health

Nicky Witras provides an overview of attitudes to cryptocurrencies in different countries, and explains why institutional investors have been slow to invest in this asset class

Emerging data science tools and techniques are redefining what it is to be an actuary. Organisations worldwide are looking to optimise their operations , and recruitment agencies are inundated with requests for talent that stands out from the crowd.

With the ONS starting to release the data from the 2021 census, Jeremy Keating considers how those working in insurance can make use of it

The actuarial profession needs to pay more attention to social risk, says Chris Sutton

Chris Martin and Steve Bale discuss how actuaries modelled the impacts of critical care demand and long COVID during the pandemic

Sarah MacDonnell and the Machine Learning in Reserving Working Party discuss how – and why – general insurance reserving actuaries should get on board with machine learning