Also available on
Job Description
📋 Description Build real-time signal ingestion pipelines from security tooling to produce risk scores. Develop probabilistic risk models expressing exposure as distributions for leadership. Identify systemic choke points and prioritize high-impact fixes. Build dashboards translating model outputs into accessible risk insights. Support financial risk quantification for investment decisions. 🎯 Requirements 5+ years data engineering; production Python and SQL (PostgreSQL/Presto/SparkSQL). 3+ years ML/probabilistic model development in production. Experience with real-time/near-real-time data pipelines (stream & batch). Data modeling for classification, normalization, and risk/anomaly signals. Experience creating metrics for security and business decisions. 🎁 Benefits Flex First remote work policy New hire equity grants and annual refresh grants Comprehensive benefits in your work location Taste of Instacart program and other benefits