You'll analyse borrower data across our LatAm markets, sharpen the signals our matching model relies on, and help define the policies that decide who gets approved. Your work directly affects whether someone with a thin file gets a real offer.
What you'll do
- Build and monitor risk segmentation across markets
- Investigate model performance and surface drift early
- Partner with data science on new scoring features
- Translate regulation into workable lending policy
What we're looking for
- 3+ years in credit, fraud, or lending risk
- Strong SQL and comfort with Python or R
- Ability to explain a decision to a non-technical audience
- Working knowledge of LatAm consumer credit
Nice to have
- Experience with alternative-data underwriting
- Spanish and English fluency