European Actuarial Academy (EAA)

The nature of the risk management program in outsourcing lies in establishing a comprehensive framework to identify, assess, mitigate, and monitor risks associated with service outsourcing, safeguarding the organization’s interests. Its purpose is to ensure operational continuity, regulatory compliance, and the quality of outsourced services while minimizing negative financial, legal, reputational, or security impacts. The […]

This is part four of four courses required to obtain the EAA Certificate in Actuarial Data Science. To earn the certificate, participants must complete all four modules, which include both the seminar and the exam. Members of AVÖ and/or DAV will obtain the additional title Certified Actuarial Data Scientist (by AVÖ and/or DAV) by fulfilling […]

The web seminar focuses on quantitative analyses of financial and non-financial risks of an insurance company and the effect and possible applications of risk mitigation techniques. After an introduction to the economic valuation of an insurance company, including stochastic valuation models and approximation techniques for life companies, and the building blocks of its economic balance […]

This web session is designed to be valuable for participants affected by IFRS-reporting, for example working as actuarial, finance, controlling or risk experts. It is also beneficial for those interested in gaining a deeper understanding of the practical application of this critical component of the standard. The session will provide insights and guidance on good […]

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 […]