Associate Data Scientist - Risk Analytics (Contract, São Paulo)
Core
Develop, validate, and maintain credit risk scorecards across the auto loan lifecycle (originations, pricing, loss forecasting, servicing, collections) to support profitability and risk management.
Role type
Associate Machine Learning Engineer (Risk Analytics)
Builds
Credit risk models and scorecards for auto financing
Domain
Auto finance / Credit risk
Deliverable
production ML models
Required skills
Python, SQL, pandas, NumPy, statistics, probability, logistic regression, linear regression, data analysis, feature engineering
Preferred skills
tree-based models, time series, clustering, survival analysis, machine learning, regulatory modeling knowledge
Technologies
Python, SQL, pandas, NumPy
Responsibilities
Contribute to the development, validation, and maintenance of scorecards across the credit lifecycle; Analyze large and complex datasets to support feature engineering and model inputs; Perform ad-hoc analyses and what-if scenarios to support business process improvements; Support ongoing model performance monitoring; Apply and refine modeling methodologies with awareness of regulatory expectations; Collaborate with Risk, Analytics, and business stakeholders to translate questions into analytical deliverables
Seniority
Associate, hands-on IC
