Over several months, we defined the granularity of the stress-test model (by business lines, geographies and products), identified key drivers by performing statistical correlation analysis, coded prototypes (using Excel, R and Python), documented our works, performed back-testing of the model, and finally trained internal teams to use the validated quantitative model.