Become a Data Scientist specializing in Credit Risk Modeling, focusing on predictive analytics for unsecured personal loans. Engage with data scientists and business teams in a versatile work environment. This senior role involves the development and validation of credit risk models, conducting data analysis, and ensuring that models meet regulatory standards.

You'll provide valuable insights on credit trends while mentoring junior analysts and contributing to a robust analytical culture within the team. Key Responsibilities:
Drive the development of credit risk predictive models
Analyze data for model performance improvements
Validate existing models for accuracy and compliance
Collaborate with teams to enhance lending strategies
Develop documentation for regulatory governance Requirements:
Advanced degrees in relevant quantitative fields
5–7 years of credit risk modeling experience
Proficiency in statistical modeling and analytics tools
Solid programming skills in Python, R, or SAS
Excellent communication and problem-solving abilities. Leverage your expertise to enhance our credit risk decision-making framework.

📌 Data Scientist For Credit Risk Models Toronto
🏢 Qfin
📍 Toronto