Manuel Touyaa's porfotlio of Python projects/assignments for Finance Market Risk.
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Updated
Mar 5, 2022 - Jupyter Notebook
Manuel Touyaa's porfotlio of Python projects/assignments for Finance Market Risk.
Balance sheet forecasting tool for banks - capital management, liquidity management, and stress testing with Basel III compliance
Simulated 1-day 99% Monte Carlo VaR with Basel III regulatory backtesting
A credit risk scorecard webapp that lets finance teams and analysts run Basel-compliant loan default predictions.
A Basel III mortgage capital project comparing STD vs IRB RWA/CET1, using Logistic Regression PD modelling.
Calculadora de FPR (Fator de PonderaΓ§Γ£o de Risco) - Res. BCB 229/2022. Calcula RWACPAD para risco de crΓ©dito com suporte completo a todas classes de ativos.
Production-grade Basel III RWA calculation pipeline processing 120M+ records/day with Spark, Airflow, and AWS
FP&A Virtual Experience Program by Citi through Forage
SQL data quality framework and Basel III regulatory calculations for credit risk management
Basel III-compliant credit risk models: PD, LGD, EAD estimation with explainability and regulatory validation frameworks
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).
This notebook demonstrates a multi-period enterprise-wide stress testing (EWST) framework aligned with OSFI ICAAP expectations.
End-to-end Credit Risk Scorecard development. Implemented Weight of Evidence (WoE) binning and Information Value (IV) analysis for feature selection. Validated via Basel-III standards using Gini and AUC-ROC metrics.
π Model operational risk capital using the Loss Distribution Approach (LDA) and Monte Carlo methods for accurate economic risk assessment.
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