Build and scale a centralized data platform for investment teams. Responsibilities include gathering requirements from portfolio managers and researchers, evaluating structured and unstructured financial datasets, developing reliable processing workflows, improving data infrastructure, and creating reusable tools for analysis and quality checks. The role requires Python programming, familiarity with ETL and data pipelines, relational databases or SQL, and a STEM degree.

Build, maintain, and monitor live trading infrastructure; develop research platforms and analytics tools; and collaborate with quantitative researchers to productionize trading strategies. The role involves greenfield development, system enhancement, refactoring, and exposure to trading and research platforms. Candidates should have strong software engineering, numerical reasoning, and problem-solving skills, with proficiency in a modern programming language and interest in quantitative research, machine learning, cloud platforms, and emerging development technologies.

Operate and support EG's systems infrastructure: day-to-day Linux server administration, end-user systems support, scripting/automation, and public cloud (AWS) management. Contribute to design, implementation, and projects using configuration management, infrastructure-as-code, and containerized workloads, with opportunities to lead larger infrastructure projects over time.