Drive innovation in credit risk modeling as a Senior Quantitative Analytics Analyst with TD in Toronto, Ontario. Utilize your programming and analytical skills in a pivotal role focused on U.S. Commercial portfolios.
This senior position involves developing, testing, and enhancing credit risk models, particularly in scenarios related to CECL and IFRS 9 allowances. You will work closely with varied stakeholders and tackle modeling challenges across complex datasets, all while upholding high standards of documentation and compliance. The role offers extensive growth opportunities in analytics and risk management.
Key Responsibilities:
• Support the design of stress testing and forecasting models
• Analyze and improve portfolio modeling methodologies




• Build scalable analytical tools to aid model development
• Execute quantitative analysis and performance monitoring
• Partner with different teams for model implementation
Requirements:
• Graduate-level education in a quantitative field
• Proven experience in statistical or econometric modeling
• Proficient in Python and SQL, with knowledge of SAS or R
• Strong problem-solving and communication skills
• Initiative and attention to detail in analytical work
Elevate your career by developing creative solutions in credit risk at TD.
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📌 Quantitative Analytics Analyst at TD (Toronto)
🏢 TD
📍 Toronto