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Senior Quantitative Risk Analyst — Hybrid Modeling & ML
Job Description & How to Apply Below
Canadian Imperial Bank of Commerce in Toronto is seeking a Sr. Quantitative Analyst to lead model performance monitoring, maintain dashboards, and contribute to the development of new models and scorecards across credit, AML, and fraud risk.
The role requires strong Python, SQL, PySpark, Databricks and SAS skills, a quantitative degree, and the ability to translate analyses into actionable recommendations. This is a hybrid role with 1–3 days on-site.
#J-18808-LjbffrPosition Requirements
10+ Years
work experience
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