Data Scientist-Credit Risk Analytics

JOB PURPOSE

We're expanding our Risk Analytics team and ARE seeking a Data Scientist specializing in credit risk modeling and portfolio analytics. In this role, you'll leverage advanced analytics, machine learning, and statistical modeling to assess risk, optimize underwriting, and drive portfolio performance. You'll collaborate closely with risk, product, and data science teams to design proactive solutions, monitor credit health, and deliver insights that influence key business decisions. The work you do will have an immediate and lasting impact on customer accessibility, portfolio profitability, and long-term growth.

KEY RESPONSIBILITIES

• Develop, validate, and deploy credit risk strategies (underwriting, scorecards, loss forecasting) using Python and ML frameworks (Scikit-learn, XGBoost, etc.).
• Engineer and optimize credit risk features (e.g., payment behavior, utilization patterns, external credit bureau data).
• Monitor portfolio performance trends and build dashboards to assess delinquency, loss rates, and risk-adjusted returns.
• Partner with Risk leadership to design policies balancing credit growth, customer access, and portfolio stability.
• Share data-driven insights with senior leadership to shape credit risk strategy.
• Support stress testing, risk segmentation, and scenario analysis to inform decision-making.

REQUIRED QUALIFICATIONS

PREFERRED QUALIFICATIONS

COMPENSATION / BENEFITS