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As a Quantitative Developer, you will collaborate with tech teams, portfolio managers, and researchers to develop complex data pipelines and frameworks for strategy and performance analytics, emphasizing strong design and implementation principles.

Participate in the development and maintenance of a large-scale, distributed storage platform. Collaborate with stakeholders to understand business requirements and propose solutions. Provide technical support for platform-related issues.

As a Full Stack Software Engineer at WorldQuant, you will build complex data pipelines and frameworks for strategy and performance analytics. The role involves developing scalable services and engaging in architecture and frontend development to enhance user experience for Portfolio Managers and Researchers.

Building software for large-scale quantitative research operations and portfolio production at WorldQuant. Requires 7+ years of production-quality C++ coding experience on Linux, expertise in system programming, and proficiency in data structures and algorithms.

The Senior Quantitative Researcher will build algorithmic models, conduct research on quantitative finance literature, and explore new data to inform financial strategies. A focus on innovative methods in applied mathematics and relevant programming skills is essential for success in this role.

The Quantitative Researcher role at WorldQuant involves building algorithmic, computer-driven models, conducting research on academic quantitative finance literature, exploring new data, and applying innovative methods in Applied Mathematics, Computer Science, and Financial Economics.

The Quantitative Researcher at WorldQuant will build algorithmic, computer-driven models, conduct research in academic quantitative finance literature, and analyze data by applying innovative methods in applied mathematics, computer science, and financial economics. A deep understanding of investment research processes is essential, along with a self-driven, resourceful problem-solving mindset.