Last modified: Tuesday, 16 January 2024, 11:56 AM
Machine Learning in Reserving Working Party
The General Insurance Machine Learning in Reserving Working Party (MLR WP) is a group of over 70 volunteers, bringing together a range of data scientists, actuaries and academics from around the globe.
When we started out in 2019, our premise was to find out why, whilst machine learning techniques are widespread in pricing, they are not being adopted ‘on the ground’ in reserving (certainly in the UK). Since then we have been working to help GI reserving actuaries develop data science skills, and are looking at ways that machine learning can be incorporated into reserving practice.
Foundations – Learning Materials
Our Foundations page is for those new to Machine Learning. Here you can find resources including:
> A suggested roadmap of how to learn
> Learning materials that we recommend
> Sample notebooks in R and Python where methods are applied to reserving data sets.
Read the Machine Learning in Reserving book
With well over 30 blogs and articles we know it can be hard to find your way through all of the material on our site. We have compiled a book to make it easier to navigate.
It is still a work in progress, so bear with us, but hopefully it provides a clearer oversight of our output, which includes help and advice on learning ML, highlights some of the latest research, as well as offering thoughts on some of the practical considerations.
Outputs: Articles, Papers and Blog Posts
Adopting machine learning for reserving – a discussion of frequently asked questions
GIRO Conference, Tuesday 22 November 2022
View event paper
Outputs: Webinars and Presentations
Machine Learning in Reserving: Introduction and Recent Developments
IAA Webinar, July 2025
Watch now
A practical introduction to using neural networks in reserving on individual claims data
General Insurance Spring Conference, April 2024
Watch now
General Insurance Spring Conference 2022 MLR Working Party: Practical Considerations in the Adoption of ML in Reserving
April 2022
Watch now
GIRO 2021 Webinar Series: Machine Learning Reserving on Triangle Data - Method Comparison and Interpretation
Monday 15 November 2021
Watch now
General Insurance Spring Conference 2021 - MLR Working Party: Machine Learning modelling on Triangles – worked example
General Insurance Spring Conference, May 2021
How actuaries can optimize usage of data science techniques within their sectors
Thursday 12 March 2020
Watch now
Get In Touch
We are always open to new volunteers
To join the working party simply apply through the IFoA’s volunteering page (scroll down to find us under ‘Ongoing vacancies’). We regularly advertise for new members 3 to 4 times a year, so if you don’t see us there keep checking or contact the chair Sarah MacDonnell. All levels of experience are welcome, we just ask that you commit time and actively contribute to the working party.
Join