Drive credit risk innovation as a Senior Credit Risk Modeling Data Scientist. Develop predictive models and enhance credit decision frameworks in a hybrid environment. In this crucial role, you will contribute significantly to the development and validation of credit risk models for unsecured lending products.

With 5-7 years of credit risk modeling experience, you will utilize statistical modeling and machine learning, partner with business teams for strategy integration, and mentor junior analysts to cultivate a strong analytical culture. Lead development of credit risk predictive models

- Conduct data analysis and feature engineering
- Validate and monitor credit risk models
- Provide insights on portfolio risk trends Bachelor’s or Master’s in a quantitative field
- 5-7 years in credit risk modeling
- Expertise in statistical modeling and machine learning
- Proficiency in Python, R, or SAS and SQL
- Solid understanding of credit risk concepts Utilize your analytical skills to shape credit risk strategies and decision-making in a energetic startup culture.

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📌 Senior Credit Risk Data Scientist (Toronto)
🏢 Qfin
📍 Toronto