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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.

As a Quantitative Researcher at WorldQuant, you will conduct rigorous explorations to identify high-quality predictive signals for financial markets. Utilizing your programming skills in C/C++ on Unix/Linux platforms, you will create computer-based models aimed at forecasting market movements. Collaboration and creativity are essential as you work within a team-oriented culture focused on continuous learning and problem-solving.

WorldQuant is seeking a Quantitative Developer to work in its Macro team, focusing on complex data pipelines, strategy framework, and trading systems. The role involves acquiring in-depth domain knowledge of the Quant Macro space and designing/implementing quant tech infrastructure for Macro trading.

The Deep Researcher role at WorldQuant involves partnering with a team to research and develop new alphas based on fundamentals. Responsibilities include developing a structured research agenda, conducting data exploration, and understanding value drivers. The ideal candidate will have at least 2 years of experience in data science, financial knowledge, expertise in time series analysis and coding in C/C++ and Python.

The Software Engineer will design, implement, test, deploy, and monitor production systems using Agile methodology, collaborating across teams to produce scalable and fault-tolerant systems. A focus on coding excellence and following best practices is essential, alongside experience in developing web applications and familiarity with various technologies.

As an AI Scientist at WorldQuant, you will conduct research in Machine Learning to enhance investment processes, produce predictive signals, design deep learning architectures, and collaborate with investment professionals to optimize algorithms.