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Senior Data Scientist in Credit Risk
Description
Elevate your career as a Senior Data Scientist focused on credit risk modeling for personal loans. This hybrid role involves analytical rigor and teamwork to enhance lending decisions.
In this key role, you'll develop predictive models and work closely with data teams to guide business strategies. Your expertise will ensure compliance and accuracy through thorough validation and back-testing of models, strengthening risk management processes across 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 mode...
In this key role, you'll develop predictive models and work closely with data teams to guide business strategies. Your expertise will ensure compliance and accuracy through thorough validation and back-testing of models, strengthening risk management processes across 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 mode...