The role involves developing scalable risk infrastructure for front-office analytics, ensuring reliability, and collaborating with engineering teams. Requires experience in quantitative development and familiarity with Python.

Build and manage data connections, validate and normalize incoming portfolio files, automate monitoring and reporting, improve auto-reconciliation via data mining and transformations, support operations and development requests, and communicate technical solutions to non-technical stakeholders. Participate in light on-call duties.

Design, build, and maintain data connections and transformations, validate file deliveries, normalize external datasets, automate monitoring/reporting, improve auto-reconciliation, support operations and development, and communicate technical details to stakeholders.