General Features

Stephen Carlin, Dan Pringle and Thomas Kernreiter consider how data science could improve life insurance repricing optimisation outcomes for customers

In these extraordinary times, banks must delicately balance their financial risks while complying with elaborate regulations and continuing to maximise profits, say Unnati Shah and Vedant Bang

Ed Plowman examines insurtech’s development, and where it could go from here

Sen Hu and Adrian O’Hagan investigate how cluster analysis with copulas can improve insurance claims forecasting

Moving between industry and academia can provide great personal insight, as the first part in our series shows

Małgorzata Śmietanka and Philip Treleaven explain the technologies making up the data-driven insurance picture

Darko Popovic, Chadwick Cheung and Zhixin Lim of the Risk Management in a Digital World Working Party run through some of the most commonly asked questions about blockchain

Patrick Kelliher covers issues in modelling dependencies between operational and non-operational risks

Jing Xu explains what a quant does in the algorithmic trading world

Radu Popescu and Daniel Suciu compare and contrast backtesting in insurance and banking