10 - 12 Jun 2024
As Insurance is being impacted by new and disruptive technology, how will actuarial reserving techniques be impacted? Whilst triangle methods have traditionally been seen as the key methods in the reserving area, this may be challenged in the future by more complex expectations, improving technology, modelling capabilities, etc.
Reserving practices are expected to keep changing, as the influences of big data and regulatory requirements continue to evolve.
The aim of this workshop is to
This training course is designed for people with an actuarial background who wish to develop or refresh their knowledge in the field of non-life insurance reserving. A basic knowledge of the R programming language is strongly recommended in order to make the most of the lessons and examples.
Technical RequirementsPlease check with your IT department if your firewall and computer settings support web session participation (the programme Zoom will be used for this online training). Please also make sure that you are joining the web session with a stable internet connection.
Attendees are encouraged to install R as well as some useful packages (all the information will be provided after subscription) to work on the examples. A basic knowledge of the R software is useful.
Purpose and Nature
The seminar will alternate between methodological concepts and practical examples in order to ensure a comprehensive understanding of the techniques presented.
The instructor-led sessions will take place online over three days between 9:00 and 12:30.
The participants will be requested to look at 5 e-learning capsules (of around 30 minutes each):
The participants will be requested to watch 1 recorded session (of around 30 minutes):
The e-learning capsules and recording contain pedagogical presentations of the concepts with examples. They can be followed by the participants whenever they want between the web sessions, as pre-requisites.
The examples are developed in R. We encourage participants to actively participate during the sessions.
Examples in e-learning capsules and during the sessions are based on our experience with Belgian companies but are not specific to Belgium and are rather applicable to most European countries.
Xavier MaréchalXavier 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 MSc. Civil Engineer (Applied Mathematics), MSc. Actuarial Science and MSc. Management. 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 mainly as reviewer, mentor for consultants, and trainer. He performed several validation assignments and holds the actuarial function for a health insurance company. Xavier is a qualified actuary of the Institute of Actuaries in Belgium (IA|BE) and is involved in the Data Science and AI workgroup of the IA|BE.
Michaël LecuivreMichaël holds a Bachelor and Master in Physics from the Catholic University of Louvain (UCL) and a Master in Actuarial Sciences, also from the UCL. He is also the winner of the IABE (Institute of Actuaries in Belgium) best master thesis of 2016. He is currently the Head of the Non-Life Center of Excellence at Reacfin. As a consultant, Michaël has worked on multiple Non-life missions such as Non-life technical pricing, profitability analysis, competition analysis, BSCR computations and aggregations under Solvency II, reporting optimization and finally risk management. All this allowed him to gain a good expertise in SAS and R as well as a good knowledge of statistical models (GLM, GAM,GLMM …) and machine learning algorithms (regression trees, random forest, GBM …). As a director, he is involved in various missions as 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.. Michaël is a qualified actuary of the Institute of Actuaries in Belgium (IA|BE).
Julie ZiansJulie Zians is a senior manager at Reacfin. She holds a BSc. Mathematics with Magna Cum Laude from the University of Liège (ULg) and a MSc. Actuarial Sciences with Summa Cum Laude from the University of Louvain (UCL). After a six months internship at Reacfin in 2011, she joined the firm as an analyst in 2012. She is a member of the Non-Life Center of Excellence and has performed several projects in non-life & health pricing, non-life & health DFA models developments. Julie is a certified Programmer in SAS from the SAS institute and further programs regularly in R, C++, Matlab and Visual Basic. Julie is a qualified actuary of the Institute of Actuaries in Belgium (IA|BE).
Geoffrey FerautGeoffrey Feraut is a manager at Reacfin. He joined Reacfin in March 2020 after four years at Cigna Europe Risk Management Team. During his time with Cigna, Geoffrey built a good experience on Solvency II Pillar 1 and developed his technical skills in R. As a Reacfin consultant, he had the opportunity to value his Solvency II experience through a general support mission (Best Estimate and SCR calculation on a quarterly basis) as well as a support for the IMAP of an internal Non-Life reinsurance entity. Geoffrey is also involved on projects related to IFRS17. Geoffrey holds a Bachelor’s and Master’s Degrees in Physics as well as a Master’s Degree in Actuarial Sciences from the University of Louvain (UCLouvain). Geoffrey is a qualified actuary of the Institute of Actuaries in Belgium (IA|BE).
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