Data Scientist Credit Risk Modeling

Position: Data Scientist for Credit Risk Modeling
Join as a Data Scientist specializing in credit risk modeling for personal loans. You'll work closely with data teams to improve lending decision-making while enjoying a flexible hybrid or remote work environment.

This Senior Credit Risk Modeling position demands strong analytical skills and the ability to develop predictive models. You will validate and back-test models, ensuring accuracy and compliance with regulatory standards.

Your role will be pivotal in guiding business strategies and enhancing risk management within the lending operations.

Key Responsibilities:

• Lead development of predictive credit risk models

• Analyze data to optimize model performance

• Monitor and validate existing risk frameworks

• Integrate model insights into business strategies

• Document model processes for compliance

Requirements:

• Degree in a quantitative field (Statistics, Data Science)

• 5–7 years of credit risk modeling experience

• Expertise in predictive analytics and machine learning

• Proficient in Python, R, SQL, and statistical modeling

• Understanding of lending processes

Shape the future of credit risk analysis as a Data Scientist with this innovative team.
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