Challenge
Lacked access to traditional credit data for scoring underbanked populations in new markets.
Solution
- Engineered custom features using alt-data (e.g., device, transaction metadata)
- Applied transfer learning on pre-trained financial behavior models
Outcome:
- Model accuracy improved by 31%
- Loan decisions in under 200ms latency
- Increased approval rate by 22% with lower defaults.