Senior Quantitative Risk Analyst — Hybrid Modeling & ML

Canadian Imperial Bank of Commerce; Toronto; Hybrid; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

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.

Qualifications

• Experience in a data analytics focused role.
• Proficiency with SQL, Python, PySpark, Databricks, and SAS.
• Degree in Analytics, Statistics, Mathematics, or related quantitative field.
• Strong communication and problem-solving skills.

Responsibilities

• Model performance monitoring including dashboards and reports.
• Develop new models/scorecards to mitigate credit risk across portfolios.
• Conduct quantitative analysis to support model development and risk reporting.

Skills

SQL

Python

PySpark

Databricks

SAS

Modeling

Risk analysis

Education

Quantitative degree

Tools

SAS Enterprise

Databricks

Job description

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.