Operational risk is the risk of loss, arising from inadequate or failed internal processes, people and systems or from external events. That is the definition of operational risk for regulatory purposes. Operational risk management is usually part of ERM and actuaries are typically not involved in these processes. That is often because of poor data […]
Operational risk is the risk of loss, arising from inadequate or failed internal processes, people and systems or from external events. That is the definition of operational risk for regulatory purposes. Operational risk management is usually part of ERM and actuaries are typically not involved in these processes. That is often because of poor data […]
Explainability is the cornerstone of practicability of ML and AI techniques – without thorough insights into the inner workings of the more advanced decision making and prediction methods, usage become hampered by the worst kind of information asymmetry: Unpredictable model outputs not fit for productive use. Ultimately, AI and ML methods will be well-suited for […]
The Economic Scenario Generators are at the core of stochastic models used by insurance companies. The applications of stochastic models are very diverse and include such applications as economic capital under Solvency II, ALM projections, dynamic hedging etc. All these applications impose different requirements upon the generation and the validation of economic scenarios. In the […]
The Economic Scenario Generators are at the core of stochastic models used by insurance companies. The applications of stochastic models are very diverse and include such applications as economic capital under Solvency II, ALM projections, dynamic hedging etc. All these applications impose different requirements upon the generation and the validation of economic scenarios. In the […]
This module deals with the challenges of implementing ERM Processes. It includes requirements on ERM Processes and the discussion of best practices. It will be presented how to define an organisation’s risk strategy, risk appetite, risk tolerances and limits. We discuss how business strategy influences risk strategy and show their necessary interaction. We demonstrate the […]
The present training is concerned with the question of economic capital in corporate management. Key aspects are economic valuation and performance, economic steering, key performance indicators, and value based management. A simplified case study for a life insurer shows in a nutshell the central aspects of corporate management in practice. The course consists of lectures […]
The Communication for Actuaries course is tailor-made for actuaries and the situations that you encounter. It is an interactive training course that ensures that the theory is immediately applied through various exercises (e.g. exchanges in small groups, role-plays, discussions) that relate to terms or situations of your day-to-day work. The course is designed to give […]
The Communication for Actuaries course is tailor-made for actuaries and the situations that you encounter. It is an interactive training course that ensures that the theory is immediately applied through various exercises (e.g. exchanges in small groups, role-plays, discussions) that relate to terms or situations of your day-to-day work. The course is designed to give […]
The Communication for Actuaries course is tailor-made for actuaries and the situations that you encounter. It is an interactive training course that ensures that the theory is immediately applied through various exercises (e.g. exchanges in small groups, role-plays, discussions) that relate to terms or situations of your day-to-day work. The course is designed to give […]
The Communication for Actuaries course is tailor-made for actuaries and the situations that you encounter. It is an interactive training course that ensures that the theory is immediately applied through various exercises (e.g. exchanges in small groups, role-plays, discussions) that relate to terms or situations of your day-to-day work. The course is designed to give […]
Machine Learning (ML) allows computers to process data, analyse it in real time and learn and make decisions based on data. Diverse applications from self-driving cars to chess computers have successfully relied on ML. While the insurance industry is not necessarily known for being particularly innovative, insurance companies are increasingly embracing approaches commonly used in […]
