Professional Experience
Aug 2025 – May 2026 · Louvain-la-Neuve, Belgium
Reacfin
Actuary Trainee · Risk Modelling

- Developed and validated probability of default (PD) models in Python and R on 500K+ mortgage records, benchmarking statistical models against machine learning.
- Built a validation and sensitivity framework with historical shocks and the EBA adverse scenario, identifying unemployment and long-term interest rates as major credit risk drivers.
- Interpreted results under Basel and Solvency II for non-technical and supervisory audiences.


































