4 - 7 Oct 2021
Non-Life Pricing&Profitability Analysis Using ML Techniques with R
Non-Life insurance is facing many challenges ranging from fierce competition on the market or evolution in the distribution channel used by the 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:
The aim of this web session is to present some advanced actuarial/statistical 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,…).
Organised by the EAA - European Actuarial Academy GmbH.
The web session is developed for non-life actuaries or statisticians but also for managers working in product development or risk management departments. Participants should ideally have basic knowledge of non-life pricing.
Attendees are encouraged to have a laptop computer with R installed as well as some useful packages (all the information will be provided after subscription). A basic knowledge of the R software is useful.
Technical requirementsPlease check with your IT department if your firewall and computer settings support web session participation (the programme Zoom is used for the web session). Please also make sure that you are joining the web session with a stable internet connection.
Purpose and Nature
The web session will alternate between methodological concepts, practical examples and case studies in order to ensure a comprehensive understanding of the techniques presented.
The participants will be requested to look at 4 e-learning modules (of around 30 minutes each) presenting the basics of machine learning before the web session. The access to these e-learning modules will be granted up to the end of the seminar.
These 4 e-learning modules are:
The case studies will be performed by the participants with the R software.
Michaël Lecuivre (Reacfin)Michaël holds a Master in Physics and a Master in Actuarial Sciences both from the University of Louvain (UCL). He is a qualified actuary of the Institute of Actuaries in Belgium (IA|BE). After a six months internship at Reacfin in 2015, he joined the firm in 2016. He is a member of the Non-Life Center of Excellence and has performed several projects in Non-Life Insurance (pricing, machine learning, solvency 2 & reserving) but also in Health Insurance. He has a sound knowledge of both R & SAS programming.
Samuel Mahy (Reacfin)Samuel graduated as a Master in Engineering (Applied Mathematics) with an additional minor in Economy and holds a Master in Actuarial Sciences, as well. He is a qualified actuary of the Institute of Actuaries in Belgium (IA|BE) and involved in the Reinsurance and Non-Life Workgroup of the IA|BE. He is the Head of the Non-Life Center of Excellence at Reacfin. Samuel has been active 5 years in the reinsurance sector where he was involved in reinsurance pricing model developments. At the same time he was also the main responsible of the UK market portfolio profitability follow-up. Samuel joined Reacfin in June 2010 as a specialist in Non-Life Insurance and Reinsurance and he has acquired a sound knowledge of Solvency 2 frameworks (Non-Life, Health). As a director, he is involved in various missions as in the modelling, implementation and validation of pillar I deliverables (standard approach and (Partial) Internal models), reinsurance optimization, model documentation, non-life pricing model development for several lines of business, etc..
Xavier Maréchal (Reacfin)Xavier is founder and CEO of Reacfin. Xavier is one of the co-authors of “Actuarial Modeling of Claim Counts: Risk Classification, Credibility and Bonus-Malus Systems” (Wiley, 2007). Xavier has obtained different academic degrees as Master in Engineering (Applied Mathematics), MSc. Actuarial Sciences and MSc. Management. Xavier is a qualified actuary of the Institute of Actuaries in Belgium (IA|BE). Xavier has extensive experience in the actuarial field obtained during his 15 years as a principal consultant for many national and multinational insurance companies. He has gained a complementary experience in various fields going from Non-Life ratemaking and provisioning to health modeling and ALM. After several years of intensive modeling activities in health, non-life and ALM, Xavier works now as reviewer and mentor for consultants. He performed several validation assignments and holds the actuarial function for a health insurance company.
Julie Zians (Reacfin)Julie holds a BSc. Mathematics from the University of Liège (ULg) and a MSc. Actuarial Sciences from the University of Louvain (UCL). She is a qualified actuary of the Institute of Actuaries in Belgium (IA|BE). Julie is a certified Programmer in SAS from the SAS institute and further programs regularly in R or Visual Basic. After a six months internship at Reacfin in 2011, she joined the firm in 2012. She is a member of the Non-Life Center of Excellence and has performed several projects in Non-Life Insurance (pricing and capital modelling) but also in Health Insurance.
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