Senior Data Scientist – Risk Modeling (Senior Data Scientist – Modelado de Riesgos) - Hybrid
Core
Develop and maintain predictive credit risk models to support underwriting, portfolio management, and risk decision-making for B2B payments and financing.
Role type
Senior IC data scientist (credit risk modeling)
Builds
Production credit risk models and analytics frameworks
Domain
Fintech / Credit Risk / Latin American Markets
Deliverable
production ML models
Required skills
Python, SQL, Databricks, scikit-learn, LightGBM/XGBoost, PyTorch, credit risk analytics, model lifecycle management, data quality control
Preferred skills
Fintech/lending experience, Latin American credit markets knowledge, PD/ECL/LGD/EAD methodologies, reject inference, MLflow, Git/GitHub, Metabase
Technologies
Databricks, MLflow, GitHub, Python, SQL, scikit-learn, LightGBM, XGBoost, PyTorch, Metabase
Responsibilities
Design and validate predictive models for credit origination and portfolio management; manage the full model lifecycle from development to monitoring; analyze large datasets to identify portfolio trends and delinquency; optimize underwriting strategies and score cutoffs; build frameworks to monitor model discrimination, calibration, and data drift; collaborate with engineering to deploy models into business decision flows.
Seniority
Senior, hands-on IC
