Senior/Staff Credit Data Scientist

📋 Description

• Develop and deploy statistical and machine learning models to predict credit risk, delinquency
• Analyze credit bureau, alternative, and loan performance data to improve underwriting, risk
• Build quantitative pricing models that optimize risk-adjusted returns, loan performance, and
• Develop and evaluate AI-powered agents and workflows to enhance underwriting, pricing, and
• Apply advanced statistical methods, feature engineering, and model validation techniques to improve
• Partner with Engineering to deploy scalable, production-ready models and analytical pipelines using

🎯 Requirements

• Bachelor's degree or foreign equivalent in Statistics, Mathematics, Economics, Computer Science
• Minimum of 8 years of progressively responsible professional experience in credit risk analytics
• Advanced proficiency in Python, including its application to statistical analysis, predictive
• Demonstrated expertise in statistical and quantitative modeling techniques, including regression
• Strong understanding of consumer lending credit risk and pricing methodologies, including credit
• Proven ability to apply advanced quantitative methodologies to complex financial datasets

🎁 Benefits

• Fully remote work freedom (for most roles)
• Competitive salary packages
• Flexible PTO + 9 company holidays
• Equity: Share in our start-up success
• Comprehensive and affordable insurance benefits
• Paid parental leave for both caregivers