Teams at WorldQuant

Support development and maintenance of portfolio management systems and tools. Collaborate with developers and portfolio managers to implement features, troubleshoot issues, monitor production, participate in code reviews, write tests, and learn modern development practices including LLM-assisted workflows. Strong technical learning and communication expected.

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.