Credit Risk Analyst

Job Summary

Joining a mission-driven team, the full-time hybrid Credit Risk Analyst will develop credit and fraud strategies using advanced analytics tools and machine learning models to optimize risk decisions and enhance credit performance.

Key responsibilities

• Develop and implement credit and fraud strategies using data and advanced analytics tools
• Design A/B tests to analyze risk and customer experience trade-offs
• Conduct ad-hoc analyses related to risk management and analyze portfolio performance at a granular level

Required qualifications

• Bachelor's degree in Business, Statistics, Mathematics, Computer Science, Engineering, or Economics
• 2+ years of experience managing credit risk, fraud, or data science in the consumer lending industry
• Strong proficiency in SQL and Python; experience with DBT and Looker is a plus
• Knowledge of segmentation, statistical procedures, and financial analytic tools
• Ability to work in a fast-paced environment and meet deadlines effectively