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. Key Responsibilities:

- Lead development of credit risk predictive models
- Conduct data analysis and feature engineering
- Validate and monitor credit risk models
- Partner with teams to integrate model outputs
- Provide insights on portfolio risk trends Requirements:
- 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.

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