Credit Data Science Specialist

📋 Description

• Develop, monitor credit scoring and churn predictive models using transactional and financial data.
• Analyze revenue trends using statistical techniques (e.g., linear regression, CIs).
• Apply generative AI and advanced analytics to automate and scale credit analysis while validating
• Conduct portfolio analysis and backtesting to inform credit limits, pricing, and retention.
• Create propensity-to-pay models to improve debt recovery and segment collection strategies.
• Evaluate judicial vs extrajudicial collection approaches.

🎯 Requirements

• Bachelor’s degree in a quantitative field (Statistics, Engineering, Economics, Mathematics, CS
• Hands-on Python experience for statistical/ML models, esp. regression/classification for financial
• Solid understanding of credit lifecycle and indicators (FPD, PDD, Vintages, Roll Rates, SCR
• Proven experience building predictive models and performing statistical calculations.
• Experience creating propensity-to-pay models and analyzing collection/recovery strategies.
• Advanced SQL for large-scale transactional data extraction/analysis.

🎁 Benefits

• Remote work: Work from anywhere within Brazil.
• Wellness membership: Gold+ access to fitness, wellness, meditation, nutrition, mental wellbeing
• Emotional wellbeing: Access to wellbeing program with therapy sessions and on-demand resources.
• Healthcare: Health, dental, and life insurance.
• Flexible benefits: Customize benefits to your needs.
• Flexible schedule: Time-zone aware scheduling with leadership.