A major Brazilian financial institution

Problem

Improve credit decision quality across the lifecycle while keeping risk and delinquency under control.

Role

Data scientist on credit risk and decision engines.

Approach

Application and behaviour scoring, portfolio monitoring, expected-loss thinking, and policy alignment.

Impact

Stronger decision discipline and risk-aware origination across the credit lifecycle.

Lessons

Durable credit outcomes come from policy and monitoring, not from a single model.

All cases are anonymized. Outcomes are described qualitatively and are not presented as public financial results of any named employer.