Credit Risk Modeling Data Scientist

Step into a vital role as a Credit Risk Modeling Data Scientist. You'll enhance predictive models and strategies for unsecured personal lending products remotely or in-person.

In this Senior position, you'll be a key individual contributor to credit risk model development and validation. Working closely with multifaceted teams, you will analyze data to enhance model performance and ensure regulatory compliance. Your efforts will drive the integration of model outputs into decision-making processes, making a real difference to the lending strategies employed by the business.

Key Responsibilities:

• Develop and validate credit risk models

• Analyze internal and external data to boost model accuracy

• Monitor and back-test existing models for compliance

• Collaborate with operations teams for model implementation

• Mentor junior analysts in data analysis and modeling

Requirements:

• Bachelor’s or Master’s degree in Statistics or related field

• 5–7 years of relevant credit risk modeling experience

• Strong statistical modeling and machine learning skills

• Proficiency in Python, R, SAS, and SQL

• Solid understanding of lending processes and risk management

Utilize your analytical skills in a hybrid workspace, impacting credit decisions and fostering a culture of innovation.
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