Over the last years, typical data science tasks like data manipulation and modelling have gained a stronger foothold in the day-to-day professional life of the actuary. Open-source languages are renowned to be especially equipped to deal with these kinds of tasks, but can also be tricky to get started with, especially when one has not […]
In modern economy, cyber risk has become a major challenge across many industries. As every prevention measure is limited, there is an increasing need for cyber insurance. In the last years, there was a strong evolution of cyber insurance. In this session, the impact of cyber risk on various steps of the value chain is […]
In the continuously evolving landscape of Artificial Intelligence (AI), Retrieval Augmented Generation (RAG) has emerged as a disruptive technology transforming how we interact with AI systems. RAG combines the strengths of information retrieval and Large Language Models to create powerful applications that can access and use vast amounts of data to generate contextually relevant and […]
Climate Risk scenarios are commonly used in the insurance industry for stress testing, but interpreting and communicating results is often challenging, given strong limitations and complex assumptions. This session will provide practical guidance on stress testing application in the ORSA context, focusing on financial risks, and provide context and foundations necessary in order to communicate […]
Pension funds link generations simply by the time scale of their transactions. Participants pay pension contributions for decades so that getting benefits after retirement, hopefully again for decades. During the course of their career new cohorts start their working life, so there is always active and retired living side-by-side. One group is only paying into […]
Due to the recent shifts in capital markets and a stricter regulatory environment, insurers need to rethink their product offerings to stay ahead of the competition and offer life and savings solutions well suited to the various requirements of policyholders. This includes the need for capital guarantees in combination with strong performance engines and the […]
This web session focuses on the aggregation of individual risks to the overall level of an insurance company. To achieve this, we apply both deterministic and stochastic copula-based approaches, along with key risk measures such as Value-at-Risk (VaR) and Expected Shortfall (ES). The outcome of this process is the capital requirement, which must be covered […]
In both life and general insurance, many predictive modelling tasks involve outcomes that occur infrequently—such as policy lapses, claims, or fraud. This leads to class imbalance, a situation where the target variable’s classes are not represented equally in the data, often with one class (e.g. policy lapse) being vastly outnumbered by the other. If not […]
During the web session, we will first explore the theoretical foundations of both the bias-variance trade-off in predictive modelling and general GLM regularisation. We will then study the explicit design of the algorithm. The remainder will be hands-on as we provide extensive code that implements the algorithm in the statistical programming language R. We will […]
The online seminar will explore selected AI applications relevant to the actuarial profession, focusing not only on potential use cases but also on how actuaries can responsibly design, validate, and monitor AI models. Participants will learn how to build compelling business cases for AI initiatives and understand where actuarial expertise offers unique value in ensuring […]
In a context of widespread instability, the actuarial analysis of emerging risks takes on particular importance to facilitate the adaptation of insurance to these profound changes. Whether it be old risks with poorly anticipated consequences (such as the epidemiological risk, as demonstrated by the recent Covid-19 crisis, whose consequences can significantly exceed purely healthcare boundaries), […]
With the introduction of new accounting frameworks, the corresponding alignment of planning and performance management and with the increasing need for sophisticated asset liability management, the stochastic assessment of risk and value in connection with participating life insurance portfolios has become the industry standard over the last decade. The underlying basis for such an assessment […]
