Credit Risk Modeling Data Scientist

Join a dynamic team as a Credit Risk Modeling Data Scientist. Focus on developing predictive models and optimizing risk strategies in a hybrid/remote environment.

This Senior Credit Risk Modeling role requires a proactive individual capable of developing, validating, and maintaining predictive models for unsecured loans. With 5–7 years of hands-on experience, you will perform feature engineering and work closely with risk and business teams for model integration. Your contributions will ensure accurate credit decisioning and adherence to regulatory standards.

Key Responsibilities:

• Develop credit risk predictive models for lending products

• Analyze data sources to enhance model performance

• Validate and monitor models for compliance

• Integrate model outputs with business strategies

• Maintain thorough documentation for governance

Requirements:

• Bachelor’s or Master’s degree in a quantitative field

• 5–7 years in credit risk modeling within lending

• Strong expertise in predictive analytics

• Proficient in Python, R, or SAS; SQL required

• Exceptional communicator and problem-solver

Leverage your analytics expertise to drive effective lending strategies and improve credit risk management.
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