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The Data Analyst will analyze financial datasets, create data pipelines, and ensure timely delivery of data to investment teams.

The Data Scientist will identify new datasets, build tools for data ingestion and cleaning, analyze data, and support trading operations.

Seeking quantitative analysts and software developers to conduct research, build technologies for trading, and expand systems to new markets.

Develop systematic trading models, conduct alpha idea generation, backtesting, and enhance trading environments while utilizing advanced quantitative methods.

The role focuses on conducting fundamental credit research, analyzing capital structures, developing investment views, and maintaining external relationships to identify investment opportunities.

The Quantitative Developer will enhance technology infrastructure for the PCA team, collaborating with researchers and developing analytical tools.

Develop and maintain systems for trading and simulations, automate research infrastructure, and troubleshoot any system issues.

The Learning & Development Analyst supports global workforce development, coordinates programs, manages the Learning Management System, and assists with various L&D initiatives.

Conduct research to find systematic anomalies in equity markets, develop strategies, evaluate datasets, and manage portfolio trading.

The internship involves developing quantitative trading models, requiring strong analytical and programming skills in a fast-paced, research-driven environment.