Analista de Políticas de Crédito Sênior - iFood Pago

Collaborate in the development and review of credit policies, integrating quantitative and qualitative criteria. Build, train, and validate risk models and automated rules using Python. Monitor performance metrics of the portfolio and models, proposing corrective actions and controls.

Advanced SQL skills for extracting and cross-referencing large data volumes. Proficiency in Python (pandas, numpy) for data analysis and scenario simulations. Experience in designing, executing, and interpreting A/B tests and experiments.