At Siembro, I lead risk and data strategy for lending businesses across Argentina and Mexico, designing credit policies, underwriting frameworks, decisioning rules, credit limits, and exposure controls.
I build and calibrate scoring models using traditional, alternative, and incomplete borrower data to improve risk segmentation, approval decisions, and credit-limit assignment. Using Python and SQL, I turn risk strategy into automated business rules and reporting workflows that replace manual Excel processes.
I analyze approval trends, origination quality, cohorts, concentrations, portfolio performance, and early-warning indicators to identify loss drivers and risk-adjusted growth opportunities. I translate these findings into practical policy and underwriting recommendations alongside Product, Finance, Operations, Commercial teams, and financial partners.
Before Siembro, I assessed agricultural credit risk at Grupo Roagro and analyzed loans and leases for agricultural machinery at John Deere Financial. I bring an economics background, a Master’s in Risk Management, and more than eight years of credit risk experience across fintech, agribusiness, and banking.
