Macro-financial stress testing framework projecting UK bank capital under baseline and adverse macroeconomic scenarios.
-
Updated
Dec 28, 2025 - Python
Macro-financial stress testing framework projecting UK bank capital under baseline and adverse macroeconomic scenarios.
A quantitative framework for modeling Operational Risk Capital under Basel III standards using the Loss Distribution Approach (LDA). Implements Monte Carlo convolution of Poisson frequency and Generalized Pareto (Heavy-Tailed) severity distributions to calculate the 99.9% Value at Risk (VaR).
Designed a comprehensive Regulatory Reporting Simulator to replicate large-bank reporting processes under U.S. regulatory requirements. Engineered automated workflows for data consolidation, error detection, and regulatory submission formats. Delivered a realistic sandbox for compliance analytics and audit simulations.
📊 Model operational risk capital using the Loss Distribution Approach (LDA) and Monte Carlo methods for accurate economic risk assessment.
Add a description, image, and links to the capital-adequacy topic page so that developers can more easily learn about it.
To associate your repository with the capital-adequacy topic, visit your repo's landing page and select "manage topics."