Risk Analytics Engineer: Data Pipelines & Models
Summary
Propel Holdings, a Toronto fintech, is hiring an Analytics Engineer (Risk) to own data infrastructure for credit risk models, including ETL pipelines and production data delivery. Day to day, they work mainly in Python and SQL, write clean testable code, and deploy scalable pipelines on AWS with data scientists and infrastructure teams.
Propel, a Toronto-based fintech, is seeking an Analytics Engineer, Risk, to own data infrastructure for credit risk models, including ETL pipelines and production data delivery.
You will primarily work in Python and SQL, write clean, testable code, and collaborate with Data Scientists, Model Developers, and Infrastructure to deploy scalable pipelines on AWS.
This fast-paced role offers growth, competitive compensation, and the chance to shape data-driven decision-making across regions.
