Senior Data Scientist - Risk Analytics (Contract, São Paulo)
Core
Design, develop, validate, and monitor end-to-end risk models and scorecards across the credit lifecycle for auto loans.
Role type
Senior IC machine-learning engineer (credit risk)
Builds
Production risk models and scorecards for auto lending
Domain
Financial services / Credit risk
Deliverable
production ML models
Required skills
Python, SQL, logistic regression, linear regression, tree-based methods, ensemble models, time series analysis, survival analysis, clustering, feature engineering, model validation, model monitoring
Preferred skills
Master's or PhD in quantitative field, experience in lending or financial services
Technologies
Python, SQL
Responsibilities
Design and develop end-to-end risk models and scorecards; Evaluate and integrate new data sources and modeling approaches; Lead what-if, stress testing, and scenario analyses; Ensure models are interpretable, stable, and production-ready; Own ongoing monitoring and performance tracking of models; Stay current on regulatory expectations in credit risk modeling
