The student will be able to understand and apply the theoretical models of non-life insurance.
a) Knowledge of the parametric and non-parametric models for claims frequency and severity.
b) Understanding and implementing model fitting concepts.
c) Knowledge of the information theory and Bayesian techniques.
d) Understanding the concept of over-dispersion and risk class tarification.
e) Understanding of Monte Carlo simulation techniques.
f) Knowledge of the basis of ruin theory.
g) Implementation of risk mitigation techniques and optimal solvency mix
h) Implementation of calculation algorithms in a general-purpose programming language and specific software.
a) Analysis and synthesis
b) Problem solving approach
c) Work team player.
d) Critical reasoning
e) Written and verbal communication