Data Scientist in Credit Risk Analysis

Step into a pivotal role as a Data Scientist in Credit Risk Analysis, focusing on creating predictive models for unsecured lending products. Enjoy a flexible hybrid work model while driving impactful credit insights.

This position demands a solid understanding of credit risk concepts combined with advanced data science skills. Your work will involve developing, validating, and maintaining comprehensive credit risk models, conducting detailed analyses, and mentoring team members to build analytical capabilities within your organization.

Key Responsibilities:

• Lead the creation of credit risk models like default and credit scoring models

• Analyze data to refine predictive analytics and model performance

• Validate models to meet regulatory standards and enhance accuracy

• Engage with business teams to apply model findings in strategies

• Document model development processes and guidelines

Requirements:

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

• 5-7 years of experience in credit risk modeling

• Strong knowledge in statistical modeling and machine learning

• Proficiency in SQL and programming languages such as Python

• Exceptional problem-solving and stakeholder engagement abilities

Drive the future of credit decisioning by leveraging data science for high-impact lending solutions.
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