Teams at WorldQuant

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 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.

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