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

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