Innovation Lab

Placing innovation at the core of our practices and strategy

Baptiste Dieltiens

Senior Expert & Innovation Lead

Arthur Maillart

Expert & Innovation Lead

Thomas Hames

Expert & Innovation Lead

Our Innovation Lab acts as a dedicated Research & Development platform, bringing together our scientific advisors and experts with the ambition is to place innovation at the heart of our practices and strategy.

Our mission

We aime to support innovation across the insurance market players and contribute to actuarial science by co-constructing cutting-edge projects with partners, delivering training programmes, and sharing our knowledge through our publications and open-source tools.

Open Trainings

Actuarial analytics with clustering algorithms

Actuarial analytics with clustering algorithms (in Python)

The aim of this session is to cover unsupervised learning techniques for visualizing and analyzing a dataset. This course focuses on actuarial applications of clustering methods.
Assurance Paramétrique (800 x 600 px) (6)

Cyber insurance: models for pricing and reserving

Get a general understanding on the main problematics linked to cyber-risk evaluation. We will discuss the quality of cyber data, and to develop models to evaluate the risk associated with a cyber contract, and decision tools to determine the perimeter of the guarantee.
Training-image

Financial statement analysis of insurance companies: beyond the numbers

A concise and comprehensive presentation of stock market ratios and of techniques for analysing short term stock market move.
Insurance Analytics

Insurance analytics | Module 1 : A primer

This training gives you a general knowledge of insurance analytics. You will be able to select the appropriate approach for your own data, run the R code and interpret the results.
Insurance Analytics

Insurance analytics | Module 2 : Tree-based methods

The training proceed step by step, recalling the fundamental statistical concepts at the heart of tree-based methods. Their relative merits are illustrated by means of several case studies with insurance data.
Insurance Analytics

Insurance analytics | Module 3 : Actuarial neural networks

The purpose of this training is to introduce participants to neural networks for actuarial pricing with a strong emphasis on the practical implementation in a R library.
Interest rate & inflation modeling

Interest rate & inflation modelling

Through the exploration of the modeling of interest rate and inflation, a particular attention is granted to the econometric estimation of the models and to their use in risk management.
Interpretability of Machine Learning models

Interpretability of Machine Learning models (in Python)

The aim of this course is to introduce the local and global methods analyzing relations between output and input of complex ML algorithms.
Recent advances in Financial Modelling for Risk Management

Recent advances in Financial Modelling for Risk Management

This training focuses on recent developments in quantitative finance applied to risk management.
Reserving in insurance: From collective methods to individual ones

Reserving in insurance: From collective methods to individual ones

Discover the subtleties behind the well-known methods you use to compute the reserves of your company. Understand the Chain Ladder and GLMs you always heard about.
Statistical modelling of mortality tables with R

Statistical modelling of mortality tables with R

This course focuses on the statistical estimation of static and dynamic mortality models with R.

Lunch&Learn, Happy Hours Learning, Seminar,...

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