Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Etienne Chasse St-Laurent

Etienne Chasse St-Laurent
Specialist Data Scientist, Enterprise Analytics, Aviva Canada

Étienne Chassé St-Laurent is a data scientist working in enterprise analytics at Aviva Canada, where he is building a new generation of predictive models by leveraging his background in statistics and actuarial science together with machine learning to solve issues specific to the insurance industry. In the past, he’s worked at Statistics Canada and in the pharmaceutical industry but has found a home for the last 10 years in insurance, six of them in R&D. He holds a BSc in actuarial science and an MSc in statistics. Étienne is mainly fueled by sugar and always receptive to book recommendations.


12:0512:45 Wednesday, 23 May 2018
Data science and machine learning
Location: Capital Suite 10/11 Level: Intermediate
Secondary topics:  Financial Services
Baiju Devani (Aviva Canada), Etienne Chasse St-Laurent (Aviva Canada)
Average rating: ***..
(3.33, 3 ratings)
Risk-sharing pools allow insurers to get rid of risks they are forced to insure in highly regulated markets. Insurers thus cede both the risk and its premium. But are they ceding the right risk or simply giving up premium? Baiju Devani and Étienne Chassé St-Laurent share an applied machine learning approach that leverages an ensemble of models to gain a distinctive market advantage. Read more.