Join Our Upcoming IAA Section Webinars | July & August

Upcoming Webinars

ASTIN Webinar: Individual Loss Reserving for Multi-Coverage Insurance

Individual loss reserving methods have undergone substantial development in the past decade, driven by increased access to granular-level insurance claims data. This research aims to propose a micro loss reserving model tailored for multi-coverage insurance policies, where a single insurance claim might trigger payments from multiple coverage types. A copula-based multivariate regression approach is employed to jointly model the settlement time and loss amount, effectively capturing the dependence among various types of loss amounts and their correlation with the settlement time. We stress the importance of considering both types of dependence for accurate reserving prediction and uncertainty quantification. Furthermore, we propose computationally efficient algorithms for parameter estimation and dynamic prediction. Through numerical experiments and real data analysis, we demonstrate the effectiveness of the proposed multivariate predictive model in loss reserving applications.

Date: 29 July 2026 | Time: 9:00 AM – 10:00 AM (EDT)
Please make sure to RSVP in order to attend the session. Your webinar ticket will be sent to you after you RSVP.

Speaker: Roxane Turcotte
Dr. Roxane Turcotte is an Assistant Professor of Actuarial Science at Université du Québec à Montréal. Her research focuses on non-life insurance, with particular interests in loss modeling, ratemaking, reserving, and predictive analytics. She is especially interested in dependence modeling and the development of interpretable semiparametric models. Her work has been published in leading actuarial journals, including ASTIN Bulletin and the North American Actuarial Journal. She enjoys collaborating with academic and industry partners to address emerging challenges in insurance.

Session moderator: Joana Gregório Raposo

Joana Gregório Raposo is a Portuguese senior non-life actuary currently based in Luxembourg, part of the Commissariat aux Assurances. She holds a bachelor's degree in Mathematics Applied to Economics and Management and a master's degree in Actuarial Science, both from ISEG - UL (Lisbon, Portugal). She is a qualified actuary, member of the following institutes: IAP (PT), IFoA (UK), SoAI (IE) and ILAC (LU). She has over eleven years of experience in actuarial topics, including pension funds in the UK and Irish markets, (re)insurance for life and non-life, Solvency II, IFRS 17, technical provisions under different bases, pricing and regulation.

IAALS Webinar:
Open IRM – A Publicly Accessible Internal Risk Model of an Artificial Life Insurer for Analyzing and Benchmarking Actuarial Methods in the Solvency II Setting

Predicting and understanding solvency figures poses major challenges for life insurers. Internal risk models provide realistic representations, but they remain company-internal and make model understanding difficult. This makes it hard to compare new machine-learning methods for prediction and explainability objectively and under realistic scenarios.

We developed openIRM, an open-source internal risk model for an artificial life insurer. It combines an economic scenario generator based on the G2++ interest-rate model with a cash-flow projection model. The model supports both outer real-world simulations and inner simulations for determining basic own funds. It has also been calibrated for all trading days from September 2016 to December 2023 and allows the use of direct and indirect valuation methods, which have been shown to produce consistent results.

This talk gives a short introduction to risk modelling for a life insurer under Solvency II, outlines how the openIRM model works, and demonstrates its practical use through a concrete example.

Date: 25 August 2026 | Time: 7:00 AM – 8:00 AM (EDT)
Please make sure to RSVP in order to attend the session. Your webinar ticket will be sent to you after you RSVP.

Speaker: Mark-Oliver Wolf
Mark-Oliver Wolf studied financial mathematics in Kaiserslautern from 2017 to 2022. Since 2022, he has been a research associate in the Department of Financial Mathematics at Fraunhofer ITWM. His work includes the German Product Information Office for Retirement Provision, pricing and risk in life insurance, artificial intelligence, and quantum computing. Since 2023, he is also a PhD student on “Mathematical and machine learning aspects of the solvency capital requirements calculation” under the supervision of Ralf Korn.

Moderator: Ernst Visser
Ernst is a Dutch actuary working for KPMG Financial Risk Management in The Netherlands. He has a master degree in physics and a master degree in actuarial science. In 2025 Ernst obtained an MBA degree with a thesis investigating the potential for disruption in the insurance industry. Ernst is a fully qualified member of the Dutch actuarial society. He has Over 30 years experience in consulting in the insurance industry