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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 and scale a financial data platform for investment teams. Responsibilities include evaluating structured and unstructured datasets, developing reliable ETL workflows, improving data infrastructure, and creating reusable tools for data analysis and quality checks. The role works closely with portfolio managers and quantitative researchers and takes projects from requirements through delivery.

Conduct quantitative research for intraday US equities trading. Responsibilities include cleaning and analyzing high-frequency financial data, developing statistical and machine learning models, designing robust backtests, evaluating predictive signals, refining models, and communicating research findings. The intern will independently own a research project from data exploration through model evaluation while working closely with portfolio managers.

Conduct quantitative research for a global, mid-frequency statistical arbitrage portfolio. Responsibilities include exploring alternative datasets, developing trading signals, improving portfolio construction, risk and transaction cost models, applying machine learning and data science techniques, writing production-quality code, and managing research projects from idea generation through implementation.

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.

The Assistant Controller manages statutory accounting, month-end close, general ledger activity, reconciliations, financial reporting, consolidations, intercompany transactions, transfer pricing, audits, banking, payroll compliance, and external service providers across international management company entities. The role also develops internal controls, improves processes, supports automation, and partners with Controllers, senior leadership, and global finance teams. A CPA, accounting or finance degree, financial services experience, and knowledge of U.S. GAAP, IFRS, and UK GAAP are required.

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.

The Network Engineer will lead network projects, manage network infrastructure, support cloud networking in AWS, and enforce network security best practices.

The Quantitative Researcher will research, develop, and support systematic equity strategies, analyzing large datasets and applying statistical and machine learning techniques to enhance trading strategies.