Hybrid Senior Quant Analyst - Risk Modeling & ML

CIBC; Toronto; Hybrid; CAD 110,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Benefits program

Defined pension plan

Employee share purchase plan

Purpose Day

Job summary

CIBC in Toronto seeks a Senior Quantitative Analyst to advance risk models, monitor performance, and contribute to model governance. You will use Databricks, Python, SAS, and SQL to run dashboards and reports, with exposure to AML, fraud and credit risk.

This role offers a hybrid work arrangement with 1–3 days on-site and 2–4 remote, enabling collaboration and applied analytics in a dynamic environment.

Qualifications

• Experience in data analytics with advanced analytics, ML, and SAS.
• Proficiency with SQL, Python, PySpark, and Databricks.
• Degree in Analytics, Statistics or Mathematics.

Responsibilities

• Model performance monitoring and dashboard reporting.
• Develop models and scorecards to mitigate credit, AML, and fraud risk.
• Provide quantitative analysis to support new and existing models.

Skills

SQL

Python

PySpark

Databricks

SAS

Education

Bachelor's degree in Analytics/Statistics/Mathematics

Tools

Databricks

SAS

Job description

CIBC in Toronto seeks a Senior Quantitative Analyst to advance risk models, monitor performance, and contribute to model governance. You will use Databricks, Python, SAS, and SQL to run dashboards and reports, with exposure to AML, fraud and credit risk.

This role offers a hybrid work arrangement with 1–3 days on-site and 2–4 remote, enabling collaboration and applied analytics in a dynamic environment.