SQL-based data quality and validation framework based on real-world experience managing credit risk databases for Basel III capital adequacy calculations at a major international bank.
In banking regulatory reporting, data accuracy is critical. This project demonstrates:
- Systematic data quality validation
- Referential integrity checks
- Regulatory capital calculations (Expected Loss, RWA)
- Cross-table validation logic
- PostgreSQL
- Basel III regulatory framework
01_schema_design.sql- Database schema for clients, facilities, products02_data_quality_checks.sql- Comprehensive DQ validation queries03_regulatory_calculations.sql- Basel III calculations with validation
Real experience as Risk Data Analyst at a major international bank (2015-2016), managing databases for economic and regulatory capital calculations under Basel III framework. Originally worked with SQL Server, this project has been adapted to PostgreSQL for broader compatibility.
Author: Matías López Sosa | LinkedIn