Become a key player in credit risk modeling as a Data Scientist. Focus on developing creative risk models and enhance decision-making processes in a hybrid mode. In your role as a Senior Credit Risk Modeling Data Scientist, you will lead the creation of predictive models for unsecured lending.

With solid experience in credit risk and statistical modeling, you will analyze data comprehensively, validate model performance, and engage directly with various teams to integrate insights into actionable strategies. Key Responsibilities:
Lead predictive model development for unsecured lending
Analyze and engineer features from diverse data sources
Ensure models meet regulatory compliance and accuracy
Collaborate across teams for strategy implementation
Document model development and governance processes Requirements:
Bachelor’s or Master’s in Statistics, Mathematics, etc.
5–7 years of relevant credit risk modeling experience
Expertise in machine learning and predictive analytics
Proficient in programming (Python, R, SAS) and SQL
Robust problem-solving and stakeholder management skills Leverage your expertise to influence credit risk strategies and contribute to a culture of innovation.

📌 Credit Risk Modeling Data Scientist Role Toronto (Canada)
🏢 Qfin
📍 Canada