Senior Quantitative Risk Analyst - Hybrid; Modeling & ML
CIBC in Toronto is seeking a Sr. Quantitative Analyst to support Quantitative Risk Modelling with model development, monitoring, governance, assessment, and consultation. You will use Databricks, Python, SAS, and other modelling software to execute the performance monitoring process for various risk models, reporting to the Sr.
Manager. The role offers a hybrid work arrangement with 1–3 days on-site, while other days may be remote, supporting analytics, ML, and SAS/Python expertise in credit and
We invite applications for the Senior Quantitative Risk Analyst
- Hybrid (Modeling & ML) position located in Toronto, ON, Canada.
This is a genuine role to take on the Senior Quantitative Risk Analyst
- Hybrid (Modeling & ML) role at CIBC.
As a Senior Quantitative Risk Analyst
- Hybrid (Modeling & ML), you will play an important part at CIBC in Toronto, ON, Canada.
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