Data Scientist Credit Risk

Job Summary

As a core contributor in the Credit Risk Analytics team, the full-time remote Data Scientist, Credit Risk will build and deploy predictive models, shape credit risk strategies, and analyze portfolio performance to drive business value.

Key responsibilities

• Build and deploy machine learning models for managing credit and fraud risks while collaborating with engineering teams
• Leverage complex data sources to develop strategies that enhance credit performance and optimize risk decisions
• Conduct ad-hoc analyses and communicate findings to support risk management and business initiatives

Required qualifications

• 2-3+ years of experience in fintech or finance, with a focus on statistical and machine learning techniques
• Advanced degree (M.S./Ph.D.) in statistics, computer science, engineering, physical sciences, economics, or a related field
• Expert knowledge of statistical programming languages (e.g., Python) and database languages (e.g., SQL)
• Solid understanding of coding best practices and ML ops principles
• Experience in consumer lending, particularly in unsecured personal loans or credit cards, is a strong plus