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adding quantification of participation risk webinar
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webinars/quantification-of-participation-risk-using-r-and-rshiny.qmd
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title: "Quantification of Participation Risk using R and RShiny" | ||
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![](images/quantification-of-participation-risk-main-image.png) | ||
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Join us on December 12th, 2024, at 12:00 pm ET for an insightful webinar on *Quantification of Participation Risk Using R and RShiny*. Presented by Raiffeisenlandesbank Oberösterreich (RLB OÖ), this session will delve into the bank's advanced risk management practices, highlighting how they leverage R and RShiny for effective data visualization and risk assessment. | ||
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Register here: [https://zoom.us/webinar/register/WN_NevKO5YeQEuDH-To5qMeLA](https://zoom.us/webinar/register/WN_NevKO5YeQEuDH-To5qMeLA) | ||
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**Agenda Highlights:** | ||
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1. **Introduction to RLB OÖ**: Overview of Austria’s leading regional bank, its strategic business fields, and its regional and international network. | ||
2. **Risk Quantification Framework**: Insight into the risk quantification process using R, focusing on participation risk and its challenges. | ||
3. **Application of R and RShiny**: Practical demonstration of RShiny’s capabilities in visualizing and managing risk data, streamlining operations, and supporting decision-making. | ||
4. **Case Study**: Real-life applications in managing participation risk within a complex financial ecosystem. | ||
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**Presenters:** | ||
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![](images/Goran.png){width=48%} | ||
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**Goran Lovric**, LL.M., a seasoned expert with over 18 years of experience in national and international financial risk management, holding certifications such as Financial Risk Manager (GARP) and Professional Risk Manager (PRMIA). | ||
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![](images/Simon.png) | ||
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**Simon Aigner**, MSc, an Economic and Business Analytics professional at RLB OÖ, specializes in automating internal risk management processes using R, enhancing operational efficiency and minimizing risk exposure. | ||
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This webinar is a unique opportunity for finance professionals, data analysts, and R enthusiasts to gain hands-on insights into using R and RShiny for sophisticated risk assessment. Don’t miss this chance to learn from industry experts about harnessing open-source tools in the financial sector! |
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