Senior Data Scientist – Risk Modeling (Senior Data Scientist – Modelado de Riesgos) - Hybrid

Requisitos

• 4–6+ years of experience in Data Science, Risk Analytics, Credit Risk, or related analytical roles
• At least 2 years of hands-on experience developing or validating credit risk models or other predictive risk models
• Strong proficiency in Python and SQL for data manipulation, statistical analysis, and model development
• Experience working with Databricks or similar cloud-based analytics platforms
• Experience developing predictive models using libraries such as scikit-learn, LightGBM/XGBoost, PyTorch, or equivalent tools

Desejáveis

• Experience in fintech, lending, credit cards, payments, or B2B financial products
• Experience with Latin American credit markets, particularly Mexico, Brazil, or Colombia
• Knowledge of credit bureau data and alternative data sources
• Experience with PD modeling, expected loss, ECL, LGD, or EAD methodologies
• Experience with reject inference or modeling under selection bias