Propel is building a fintech platform that evaluates credit risk with AI-driven data pipelines. As Analytics Engineer, Risk, you will own data integration, ETL design, and production pipelines to support model training, scoring and monitoring.
You will work closely with Data Scientists, Model Developers, and Infrastructure to ensure scalable, auditable data flows. You will work in Python and SQL, handling tabular and time-series data, and collaborate across regions CA/US/UK to standardize data
📌 Risk Analytics Engineer: Data Pipelines & Modeling (Toronto)
🏢 Socket.dev
📍 Toronto
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