Teams at Schonfeld

The AI Data Engineer will design and implement data pipelines, build AI-optimized data infrastructure, ensure data quality, and collaborate with teams to support AI applications.

Serve as first point of contact for production incidents across a global quantitative trading platform. Triage, investigate, and resolve live issues, escalate as needed, collaborate with developers for deployments, build automation and tools (including AI integrations), and maintain monitoring and performance in a Linux-based environment.

The role involves monitoring quantitative trading activities, enhancing operational tools, coordinating incident responses, and collaborating with teams to improve trading processes.