Staff Data Scientist

Job Summary

Owning the end-to-end development of risk data science frameworks, the full-time remote Staff Data Scientist will drive credit risk modeling, fraud detection, and loss forecasting initiatives while mentoring junior team members and collaborating with cross-functional stakeholders.

Key responsibilities

• Lead the development and delivery of credit risk scoring, default prediction, and fraud detection models
• Design, backtest, and validate credit risk models using advanced statistical techniques and machine learning
• Serve as the internal subject matter expert on credit risk modeling and risk-based decisioning engines

Required qualifications

• 8+ years of experience in Python/R and SQL
• 7+ years of professional experience in quantitative risk modeling or credit risk analytics
• Master's/PhD in Economics, Statistics, Computer Science, Operations Research, or a related quantitative field
• Prior experience in consumer lending or fintech with technical ownership of credit underwriting or fraud models
• Strong expertise in credit risk modeling and machine learning algorithms