24/09/2026

EAA Web Session 'Non-Life Pricing Using Machine Learning Techniques with R Applications' on 8-10 December 2026

 

 

­

 

­

­

EAA Web Session 

­

­

 

Non-Life Pricing Using Machine Learning Techniques with R Applications

­

­

8 December 2026 | 9:00-14:00 CET

9 December 2026 | 9:00-13:45 CET

10 December 2026 | 9:00-13:45 CET

­

­

­

 

Non-Life insurance is facing many challenges ranging from fierce competition in the market or evolution in the distribution channel used by consumers to evolution of the regulatory environment.

 

Pricing is the central link between solvency, profitability and market shares (volume). Improving pricing practice encompasses several dimensions:

 

  • Technical: is our pricing adequate to cover the underlying cost of risk of my policyholders and the other costs we are facing? Which are the key variables driving the risk? Are they adequately taken into account in our pricing? What’s the impact of the claims history of my policyholder on its expected risk? In which segment are we profitable and in which are we not profitable?
  • Competition: at what price will we attract the segments that we target and price out those that we do not want? Is the positioning of our competitors influencing our pricing practice and our profitability? What’s my position with respect to my competitors in terms of pricing? What are the segments in which I am well positioned and the segments where I am not well positioned?
  • Elasticity: what price (evolution) are our existing customers prepared to accept? Does the sensitivity to price evolution depend on the profile of my customer?
  • Segmentation: is our segmentation granular enough for our purposes?

 

The aim of this web session is to present some advanced actuarial techniques used in non-life pricing, competition analysis and profitability analysis. The web session focuses on some practical problems faced by pricing actuaries and product managers and presents some new techniques used in non-life pricing in order to open new perspectives for product development (competition analysis, profitability analysis,…).

The case studies will be performed by the participants with the R software. 

Early-bird discount is available for bookings made by 27 October 2026.

 

 

­

 

PREMIUM Sponsor of this Web Session: 

­

­

­

­

 

­

 

­

Coming soon...

­

 

Assets and Liabilities Management Part 1: Introduction | 14-16 October 2026

 

Open-Source Tools R: Extending the Toolbox of the Actuary | 23/24 November 2026

 

From Excel Tariff Calculators to Python – Agentic Edition | 27 November 2026

 

Explore our website for more information and discover all our upcoming events. For more insights, updates, and a bit of actuarial fun, feel free to follow us on LinkedIn!