This thesis proposes the use of statistical methods to model vulnerability in a dynamic perspective. Drawing on work in different disciplines such as sociology, psychology and even the environmental sciences, this thesis considers that vulnerability is a process that unfolds over time that cannot be observed directly. Through the use of latent variable methods, mainly latent growth curve models and latent transition analysis, this thesis illustrates how they can be used to model vulnerability. Using longitudinal surveys from Switzerland and the United Kingdom, this thesis shows how this methods can be applied to study vulnerability by investigating the consequences of the 2008 Financial Crisis on the labour market with a focus on the risk of unemployment and precarious jobs.