Staff Data Scientist, Cashalo

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: Staff Data Scientist We’re hiring for a Staff Data Scientist to help expand Tilt’s credit modeling and risk analytics capability for our Philippines-based business, Cashalo. This is a high impact role with a direct mandate to build and refine underwriting models as well as other models , working at the intersection of credit, data science, and leadership. You’ll collaborate with a lean but growing team, applying advanced modeling techniques to predict loss performance , leverage alternative data sources , and build next-generation tools that shape credit access for millions. This is a 100% remote role that requires travel 2-4 times/year. How You'll Make an Impact Cashalo is undertaking a solid turn in unit economics with a view to growing to being the largest fintech in PH, and this is an opportunity to build foundational credit models and features from the ground up . With direct exposure to leadership , your work will shape both near-term lending performance and long-term data infrastructure. You will partner directly with cross-functional teams across credit, engineering, and leadership, bringing strong project and stakeholder management skills to a lean, fast-growing team. Work with alternative data where the underwriting process and modeling reflect the maturity of the market Why You're a Great Fit Deep expertise in predictive modeling , ideally within credit risk or actuarial settings. Strong proficiency in Python, SQL , and ML libraries like scikit-learn, LightGBM, XGBoost. Familiarity with AI tools such a