About
I have been working as a GI actuary for the last 30 years, spanning personal lines, London Market, reinsurers and captives, both in the UK and overseas. I started working for General Accident in Hong Kong but have spent most of my time as a consultant in London; first with Willis Towers Watson, and then with LCP.
I have a long history of activity in the IFoA (Institute and Faculty of Actuaries) and was awarded the GI Lifetime Achievement Award in 2024. I chair the Machine Learning in Reserving working party and am on the AIDSET (AI, Data Science and Emerging Technologies) Board. I was on the GI board from 2016 to 2026 and chair of the GI Reserving Oversight Committee up until 2019. I have spoken and written widely on the subjects of reserving, uncertainty and PPOs.
Interests
- Machine learning and statistics
- General insurance reserving
Posts
| Date | Title |
|---|---|
| Feb 7, 2026 | Neural Network Diagnostics |
| Feb 3, 2026 | Data Structures: Initial Findings |
| Feb 2, 2026 | Neural Network Framework |
| Nov 10, 2025 | An update from the Machine Learning in Reserving Working Party |
| Oct 20, 2024 | Neural Network Hyperparameters |
| Apr 29, 2024 | Neural Network Diagnostics |
| Apr 28, 2024 | How to run a basic neural network in Python: code explainer |
| Apr 27, 2024 | A practical introduction to using neural networks in reserving on individual claims data |
| Nov 22, 2022 | 3. Incorporating expert judgement |
| Nov 14, 2022 | SPLICE |
| Sep 30, 2021 | Probabilistic Forecasting with Neural Networks Applied to Loss Reserving |
| Nov 10, 2020 | Gap opening up in motor insurance market; why are some companies investing in machine learning for reserving and others not? |
| Aug 17, 2020 | Introducing the MLR blog |
