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Retail · ~2020–2021
A major Brazilian retail group with consumer credit
- Problem
- Scale credit decisions for retail finance with a consistent risk policy.
- Role
- Data science coordinator.
- Approach
- Decision-engine design, capacity-to-pay, limits, behaviour monitoring, and pre-approval patterns.
- Impact
- More consistent credit decisioning integrated with retail operations.
- Lessons
- A decision engine only scales when the business owns the policy behind it.
Related capabilities
- Credit risk decisioning
- Change management for AI
- Applied machine learning
Related cases
All cases are anonymized. Outcomes are described qualitatively and are not presented as public financial results of any named employer.