Senior Credit Manager, Mexico
- Salary
- ₹10–20 LPA
- Location
- Mexico
- Experience
- Senior
About the company & role
Join the Tilt team At Tilt, we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. With millions of customers worldwide , we're not just changing how people access financial products — we're creating a new credit system that backs the working, whatever they're working toward. The Opportunity: Senior Credit Manager, Mexico Mexico was Tilt's first market outside the US. Since 2022, our cash advance product has helped over 1 million customers access short-term credit on transparent, affordable terms. We are hiring a Senior Credit Manager to own the day-to-day credit performance of that product: the policy, the unit economics, the experiments, and the results. You will report to the Head of Credit, Mexico, and work across a small, high-impact set of leaders in credit, data science, and collections. This is a remote role with a strong preference for candidates based in Mexico. Travel for company onsites is expected at least twice a year. How You'll Make an Impact Own the credit performance of our core product: Set and tune the cash advance credit policy in Mexico, encompassing eligibility, loan amount assignment, pricing, and repeat-loan progression. Your decisions will strike the optimal balance between growth and profitability for the product. Model the unit economics: Maintain and improve the valuations model that is the foundation of credit and marketing decision-making. Use it to measure performance, identify opportunities, and turn those opportunities into results. Run the test-and-learn agenda: Design, launch, and read experiments across the borrower lifecycle. Monitor and intervene: Track vintage performance, early delinquency, and roll rates. Catch drift early, diagnose the cause, and fix it. Turn model releases into policy: Partner with Data Science to take new risk models from validation to prod