How can organizations make risks more tangible and enable sound decision-making under uncertainty? Modern approaches to risk quantification go far beyond traditional heat maps and subjective assessments. By leveraging stochastic methods, simulations, and quantitative models, organizations can assess risks more transparently, simulate scenarios, and strengthen data-driven strategic decision-making.
In this webinar, Florian Worm, Founder & Managing Director of Volatilis GmbH, Prof. Dr. Stefan Hunziker, Professor of Risk Management and Head Competence Center Risk & Compliance Management at Lucerne University of Applied Sciences and Arts, as well as Nikolai Tsenov, Head Solutions & Innovation at Swiss GRC, will explore modern approaches to risk quantification and demonstrate how quantitative methods are already being successfully applied in corporate management and decision-making processes.
The session will combine academic perspectives with practical business applications, ranging from the fundamentals of stochastic modeling to the use of quantitative methods in the boardroom. Participants will also gain insights into how modern risk quantification and simulation approaches can be integrated within the GRC Toolbox to support informed and data-driven decisions. Key topics include:
- Myths and misconceptions surrounding risk quantification
- Risk quantification today: context, opportunities, and challenges
- Bridging science and practice in modern risk models
- How stochastic methods and mathematical models support informed decision-making
- Quantitative methods in the boardroom and corporate steering
- The value of simulations for transparency, resilience, and decision-making capabilities
- Practical examples and insights into implementation within the GRC Toolbox
Who should attend?
This webinar is designed for professionals and decision-makers in Risk Management, Enterprise Risk Management (ERM), Governance, Compliance, Internal Audit, Finance, as well as executives and board-level stakeholders seeking to strengthen data-driven decision-making and modernize their approach to risk management.
Discover how organizations can make uncertainty measurable and use risk as a strategic management factor.
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