João Paulo Vieira Costa
Banco do Brasil
João Paulo Vieira Costa is a Ph.D. candidate at the University of Brasília (UnB) and a professional in the internal controls department of a major Brazilian financial institution. His research encompasses artificial intelligence models, specifically document understanding, alongside credit risk modeling and IFRS 9 compliance. His work in the financial sector applies survival analysis and ensemble methods to estimate lifetime probability of default (PD). He also investigates dynamic credit risk characterization for fintechs and the impact of central bank interventions on non-performing loans. Currently, his work focuses on integrating multimodal architectures and emerging AI technologies into corporate governance
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Articles by João Paulo Vieira Costa
Beyond mirror validation: the cost of ineffective challenge in model risk management
The authors demonstrate that the practice of confirming a developer’s model is correctly reimplemented and discrimination metrics are acceptable while leaving calibration under changing conditions unchallenged fails to detect calibration degradation.