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Banking · 2015-2017
Banco BV: A Brazilian retail and wholesale bank
- Problem
- Keep regulatory-capital calculations and risk models auditable and reproducible under supervisory scrutiny.
- Role
- Senior data scientist on regulatory capital, model governance, and market risk.
- Approach
- SAS automation of controls and analytical routines, review of assumptions and methodologies, model documentation and data lineage, and monitoring of market exposures.
- Impact
- Supported the bank’s regulatory audit with analytical validation, evidence, and model documentation, and made capital calculations easier to trace and reproduce.
- Lessons
- A model nobody can reproduce will not pass an audit, however good it is.
Related capabilities
- Data & AI governance
- Risk-aware AI in regulated contexts
- Risk-adjusted performance literacy
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