Jobs at WorldQuant

Develop and research predictive alphas and algorithms on the BRAIN crowdsourcing platform, improve platform functionality, design new datasets/features, support business development, train and engage external users and consultants.

Design, implement, test and deploy high-performance C++ software on Linux to support large-scale quantitative research and production trading. Own technical challenges for scalable distributed systems, work with researchers and portfolio managers, and optimize data structures, algorithms and concurrency for production-grade performance.

Develop and implement execution algorithms and tools, conduct transaction cost analysis, and collaborate with teams to optimize trading strategies.

WorldQuant seeks candidates for its Technology team to join a community for potential future opportunities. The role highlights collaboration and innovative thinking.

Design, develop, and maintain systems, interfaces, and tools for portfolio management. Collaborate with portfolio managers and developers to translate requirements, investigate and resolve issues, monitor and support production systems, participate in code reviews, testing, and documentation, and improve team productivity using modern tools and LLMs.

WorldQuant seeks a Quantitative Developer to create data pipelines and software for financial strategies, collaborating with the Macro Team.

Lead the technical direction of MetaTech's research platform, engaging with researchers, managing a team, and modernizing infrastructure.

Assist with daily research and analysis tasks, including scripting for monitoring and alpha signal analysis in financial markets.

The role involves conducting research to identify predictive financial signals and contributing to quantitative models for market predictions.

The Book Portfolio Manager develops systematic strategies using statistical signals for market inefficiencies, manages quantitative portfolios, and contributes to firm research initiatives.

The role involves developing systematic financial strategies and managing a quantitative investment portfolio with a focus on market inefficiencies.

Support portfolio managers with alpha research and development of quantitative trading strategies, while building tools used in the process.