Senior Credit Risk Data Scientist

Elevate your career as a Senior Credit Risk Modeling Data Scientist, focusing on predictive modeling for unsecured personal lending products. Collaborate with data science and risk teams in a hybrid or remote environment.

You will take the lead in developing and validating predictive credit risk models, including probability of default and credit scoring models. This role requires in-depth data analysis, feature engineering, and compliance validation. Your insights will influence risk strategies and enhance overall credit decision processes, aligning business and modeling initiatives for optimal results.

Key Responsibilities:

• Lead development of credit risk predictive models for lending

• Conduct data analysis and feature engineering for models

• Validate existing models for accuracy and compliance

• Partner with business teams to integrate model outputs

• Mentor junior analysts and foster an analytical culture

Requirements:

• Bachelor’s or Master’s in Statistics, Mathematics, or Data Science

• 5–7 years in credit risk modeling

• Expertise in statistical modeling and machine learning

• Proficiency in Python, R, SQL, or SAS

• Solid understanding of credit risk concepts and processes

Drive impactful credit risk strategies through data science expertise in this innovative role.
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