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The Senior C++ Software Engineer at WorldQuant is responsible for writing production-quality code, developing large-scale distributed systems, and bringing solid experience to the team. The role involves building software for quantitative research operations and portfolio production.

The Senior Quantitative Strategist will support portfolio managers in alpha research and modeling, evaluate data sources for predictive power, and maintain tools for quantitative research and portfolio management. A strong quantitative research background and programming skills in Python and/or C++ are essential.

Seeking a Trading Systems Engineer to work in the Front Office Technology group responsible for developing and troubleshooting a complex and distributed platform. Responsibilities include supporting the global execution system, managing operational infrastructure, analyzing and optimizing latencies, and coordinating with various technology groups.

The Project Manager will be responsible for the efficiency of the project's operations, collaborating with leaders, setting organizational vision, developing strategies, maintaining relationships, and ensuring successful project execution. Key responsibilities include coordinating activities, implementing solutions, reporting on progress, and more.

WorldQuant is looking for a Quantitative Researcher to create computer-based models predicting global financial markets movements. Candidates should have or be pursuing a degree in a quantitative field, possess a research scientist mindset, and be competent in Python and Unix.

As a Quantitative Researcher at WorldQuant, you'll conduct rigorous research to develop models that predict financial market movements. Your role will involve converting data into mathematical expressions to identify potentially undiscovered predictive signals. Candidates should have a strong academic background in quantitative fields and be eager to learn about finance.

As a Quantitative Researcher, you will pursue the creation of predictive models to identify market inefficiencies, collaborating with teams to develop financial strategies based on data-driven insights. A strong analytical mindset is essential, along with a willingness to learn about finance and global markets.