Job Responsibilities: Demonstrated, hands-on experience building production financial models directly in Jupyter Notebooks. Portfolio / GitHub links required analysis-only notebooks do not qualify. Proven track record implementing Monte Carlo simulations in Python: distribution fitting, correlated variable sampling, simulation loop design, and P10/P50/P90 output interpretation. Proficiency in core Python modelling stack: NumPy, Pandas, SciPy (stats), and at least one Monte Carlo framework (PyMC,