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

Develop credit risk models and maintain predictive models for credit origination and portfolio management. Use SQL and Python to analyze large datasets and translate findings into actionable risk strategies. Collaborate with Data and Engineering teams to ensure reliable model deployment and integration into business decision flows.

4–6+ years of experience in Data Science or Risk Analytics. At least 2 years of hands-on experience developing credit risk models. Strong proficiency in Python and SQL, and experience with Databricks or similar platforms.