Risk Analytics Engineer: Data Pipelines & Modeling
Posted 1
view
Summary
This role builds and owns the data infrastructure behind AI-driven credit-risk models at a fintech platform: designing ETL, integrating data sources, and running production pipelines in Python and SQL to support model training, scoring, and monitoring.
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
