Become a key player in credit risk modeling as a Data Scientist. Focus on developing innovative risk models and enhance decision-making processes in a hybrid model.

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.
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📌 Credit Risk Modeling Data Scientist Role (Ontario)
🏢 Qfin
📍 Ontario