This role is based in San Francisco and requires being in-office 5 days a week.

Key Responsibilities
• Design and implement robust data pipelines and tools that bring quantitative research into production (e.g.,
Dagster, Spark, AWS).
• Partner with research teams to ensure style factor research outputs are scalable, testable, and integrated into
broader systems.
• Own problem-solving tasks such as automating research workflows, enabling scalable data access, or
resolving cross-system compatibility issues.
• Contribute as a generalist across the entire pipeline—from ingestion and transformation to orchestration and
tooling.
• Maintain a high standard of engineering quality across data handling, software design, and research tooling.
• Work autonomously while acting as a reliable partner to quantitative researchers—identifying gaps, solving
integration issues, and suggesting improvements.

Qualificat...