Search the 9 jobs at WorldQuant

The Quantitative Execution team at WorldQuant is seeking an Execution Researcher to refine execution capabilities across various financial products. Responsibilities include developing trading methodologies, maintaining broker relationships, and optimizing trading algorithms. The role requires expertise in global equity market microstructure, Python programming, statistics, and optimization.

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.

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.

Develop systematic strategies for global asset classes using statistical signals, lead and manage quantitative investment portfolio independently, and build research pipeline with autonomy.

Seeking candidates with quantitative research experience and knowledge of systematic strategies across various asset classes for alpha research, portfolio construction, and tool development. Requires expertise in Python, C++, and Linux with a strong background in data structures and algorithms.

Develop systematic strategies for a global investment platform, lead and manage quantitative investment portfolios, and contribute to firm research and strategic initiatives. Strong programming skills in Python and C++ required.

Seeking candidates with a quantitative educational background and an interest in systematic trading. Responsibilities include supporting Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies, as well as building and maintaining tools and systems used throughout the quantitative research and portfolio management processes.

WorldQuant is seeking a Data Strategist to research new datasets for generating trading signals, establish relationships with vendors, and manage data procurement processes. This role plays a key part in staying at the forefront of data utilization within the hedge fund industry.

Join WorldQuant as an AI Quantitative Strategist working on the Artificial Intelligence team. Responsibilities include building AI/ML models, implementing AI solutions, accessing state-of-the-art data systems, and developing foundational AI software.