Training

TASC offers customized training events tailored to the client’s needs, delivered on-site at the client’s premises. These events can be designed for small groups or larger audiences, with formats adapted to the event's purpose—ranging from introductory sessions to in-depth, instructive training or a combination of both.

The goal is to provide a balanced learning experience that integrates theory and practice, fosters engagement through presentations and audience interaction, and seamlessly connects existing with newly acquired knowledge.

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Training formats

As all TASC activities are customized to meet client needs, the educational formats are also adaptable. 

Below are three types of sessions TASC can deliver at the client’s premises: seminars, information sessions, and training sessions.

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A seminar is the briefest and least intensive format, typically lasting around one hour. It aims to introduce a topic, such as updates to Solvency II or a specific actuarial method, through one or two presentations, followed by a Q&A session lasting 10 to 20 minutes.

The primary goal is to spark interest by providing an overview or clarification of the topic’s relevance. 

Seminars can serve as an exploratory step to gauge whether a more in-depth educational event may be beneficial.



Information sessions are half-day events, usually lasting three to four hours, that offer a high-level overview of a topic and basic guidance, without delving into technical aspects. 

Examples could include an introduction to methodologies for adjusting risk-free interest rates relevant to technical reserves or an overview of open-source platforms for assessing climate change risks. 

The format combines a presentation segment with an interactive Q&A segment for discussion and feedback.



Building on a seminar or information session, training sessions are designed to be more in-depth and instructional. The objective is to impart technical knowledge in a structured way. Training can extend over several days, with daily sessions lasting two to three hours. 

Tailored educational materials are prepared, and, upon client request, the training can conclude with an assessment to evaluate participants’ understanding.

Topics

The topics covered in a formation event align with TASC’s expertise. 

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For insurers

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Topics primarily involve supervision requirements under Solvency II, such as:



The scope may include, but is not limited to:



While climate change risk assessment falls within Solvency II regulations, it has yet to be incorporated into solvency capital requirements. Climate change risk goes beyond traditional catastrophe risk, a familiar element in insurers' capital projections, presenting new challenges and responsibilities for both regulators and insurers. 

Although responses among insurers vary in ambition, a substantial body of literature is available to help insurers address climate-related risks. Given that regulations will likely become more rigorous, it is advisable to begin building awareness and understanding of climate change impacts now.

Statistical Training Options

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TASC can organize training sessions on topics within general statistics: sampling, statistical modeling, estimation, inference, and prediction. Each of these can be valuable even for small-scale applications. 

Training sessions can be tailored to cover one or more of these subfields as relevant to specific departments, projects, or software needs.



Sampling is essential when a company plans to study a specific problem by collecting data in a consistent, reliable, and feasible way. Surveys, polls, and experiments, whether natural or designed, all rely on robust sampling protocols. Sampling methods are critical, as they directly impact data quality and the reliability of subsequent analyses.



At the core of statistics, statistical modeling approximates real-world phenomena with models whose properties can be examined. Even a simple analysis, like testing for a mean, may involve underlying modeling assumptions worth understanding. Statistical modeling includes assumptions about distributions, (non-)linear dependence models (e.g., regressions), time series, and more. 

For a given model there may be different statistical methods in order to proceed with the analysis. For instance a logistic regression, a decision tree or a neural network may be justified depending on the context.



Estimation involves producing and analyzing concrete statistical values. This could mean estimating a central tendency, a threshold, or a Value-at-Risk (VaR). Multiple estimates for a single measure are common, and this can be used to judge the robustness of the results. Every practical statistical analysis requires a baseline of estimation for useful application.



In a broad sense, it means drawing conclusions based on evidence. Statistical inference applies tools like hypothesis tests, confidence intervals, simulations, Bayesian methods, and bootstrap techniques to facilitate making generalized conclusions from available data.



This is often the ultimate goal in applying statistics, focusing on forecasting values. Prediction methods appear in regressions, classifications, and time series, aiming to estimate an unknown value based on observable characteristics that are statistically shown to influence it. Pricing an insurance contract, for instance, is often a result of statistical prediction.

Objectives

The primary goal of TASC's formation services is straightforward: to support and empower individuals in their work. This is guided by three core principles:

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In any field, theory is the foundation of practice. Very often undeservedly overlooked, practical application without a theoretical base, can be ineffective, like building a house without a foundation. 

First, theoretical knowledge helps employees critically evaluate daily tasks and compare them with established benchmarks. Second, new insights from theory can enrich routine tasks, enhancing job satisfaction and confidence—benefiting both the individual and the company. 

 


Encouraging participation fosters reflection, engagement, and better retention of information. However, interactive sessions are highly effective when participants already have some background knowledge or opinions on a topic. 

Ideally, a formation event combines both interactive and presentation-based approaches, dynamically adapting to audience responses for a well-rounded learning experience.



Ensuring that no one feels "lost" during a TASC training is crucial. However, this can be challenging, as attendees often have varying levels of knowledge and skill, even within the same department or project. Some may find summaries and reviews redundant, while for others, they may be essential and new. 

TASC addresses this by gathering feedback before and after each session, which helps to structure effective, inclusive training. 

Detailed support materials, accessible to all attendees, complement and extend the learning experience beyond the training event itself.