The Team – Investment Data Engineering & Analytics (IDEA) The Investment Data Engineering & Analytics (IDEA) team sits within the Investment Platform (IP) COO organization. The IP COO group is responsible for enabling the Investment Platform to achieve its growth and efficiency goals by creating scalable centers of excellence, aligning with business needs, and integrating business and technology strategies. As data continues to grow in importance as an enabler of the investment process, the IDEA team is responsible for evolving the firm’s research data and analytics platform. The team partners closely with investors, technologists, and enterprise data functions to build and sustain a platform that provides seamless access to a library of foundational research data and analytics across asset classes. The Position We are seeking a Quantitative Developer to join the IDEA team and help design, build, and extend our central research data platform. This individual will work primarily in Python and modern cloud data technologies to build the full stack of investment data and analytics: from transforming raw vendor and internal data into clean, well-modeled, investment-ready datasets to tools that power fundamental and systematic research. The ideal candidate combines strong Python engineering skills, a deep interest in data modeling and architecture, and a practical understanding of investment data and how investors use it. This person is energized by building in a dynamic environment, comfortable with ambiguity, and motivated by the opportunity to create structure from complexity. This role will work closely with both fundamental and quantitative investors and researchers, technology partners, and enterprise data teams.