From Risk Identification to Quantified Decision-Making with CRISAM®

Dates

Online, 28.10.2026, 13:00

Online, 04.11.2026, 13:00

Online, 11.11.2026, 13:00

Online, 18.11.2026, 13:00

Online, 25.11.2026, 13:00

Online, 02.12.2026, 13:00

Online, 09.12.2026, 13:00

Online, 16.12.2026, 13:00

Online, 06.01.2027, 13:00

Online, 13.01.2027, 13:00

Online, 20.01.2027, 13:00

Discover how CRISAM® combines integrated risk management with advanced quantitative analysis to help organisations understand total risk exposure, assess risk-bearing capacity and make more informed decisions.

Speakers: Andrew & Andreas, CRISAM®

About the webinar

Effective risk management requires more than maintaining a risk register. Organisations need to understand how individual risks interact, quantify their potential financial impact and assess whether overall exposure remains within acceptable levels.

CRISAM® incorporates the statistical programming language R, enabling sophisticated quantitative risk analysis to be performed directly within the platform, including Monte Carlo simulation, probability distributions, sensitivity analysis and advanced risk metrics.

What you will see

• Establish a comprehensive and consistent enterprise risk inventory
• Identify and assess emerging risks at an earlier stage
• Quantify the potential financial impact of individual and aggregated risks
• Use Monte Carlo simulation to understand a range of potential outcomes
• Analyse risk dependencies and key drivers of overall exposure
• Determine and monitor organisational risk-bearing capacity
• Apply quantitative metrics such as CVaR, Expected Shortfall, RORAC and RAROC
• Engage risk owners and employees through structured risk processes

What you will take away

Participants will gain a practical understanding of how CRISAM® can help transform risk data into meaningful insight and provide management with a clearer view of both individual risks and overall organisational exposure.

CRISAM® helps organisations move beyond static risk registers towards a more predictive and financially informed approach to risk management.

Key facts

• Topic: quantitative risk analysis and risk-based decision-making
• Platform: CRISAM® GRC platform, risk management with R
• Methods: Monte Carlo simulation, probability distributions, sensitivity analysis
• Metrics: CVaR, Expected Shortfall, RORAC, RAROC
• Format: Online webinar
• Language: English
• Speakers: Andrew & Andreas, CRISAM®
• Dates: see the registration section below

More on the module: Integrated Risk Management product sheet. An overview of all modules: CRISAM® solutions.