Vacatures in Riskmanagement

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Bron: The Actuary - 01 maart 2023

Coding: those who love it can benefit those who don’t by creating open-source tools. Yiannis Parizas outlines two popular data science programming languages, and the simulator he devised and shared

An open-source programming language is one that is not proprietary; the source code is accessible for the public to view, modify and redistribute. R is an example of one such language. It is specialised in statistical analysis, and rich in packages for data visualisation, processing, analysis and reporting. It is one of the IFoA’s ‘preferred’ programming languages and is now included in the CS1 and CS2 exam curricula. The IFoA’s official guide to installing and using R can be found at

Insurers can use R to perform analysis in all areas of pricing, reserving and capital modelling, and there are already specialised R packages that support our work. There are significant benefits in creating and sharing such packages with the public.

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