Teams at WorldQuant

Develop and maintain large-scale, production-quality C++ software on Linux for quantitative research and portfolio production platforms. Build distributed systems and high-performance applications using strong data structures, algorithms, and concurrency patterns. Collaborate with researchers and portfolio managers, work independently, and contribute to scalable computation, graph data, and streaming or dataflow systems.

Build and maintain scalable backend services, APIs, and components for an alpha testing and production framework. Design new systems, enhance existing platforms, automate CI/CD, and improve reliability and performance. Collaborate with agile engineering and operations teams while using Python, databases, messaging systems, Linux, and open-source technologies.

Conduct quantitative investment research to develop predictive signals and computer-based models for global financial markets. Explore market data, identify inefficiencies, create financial strategies, and collaborate on alpha production. The role requires strong analytical and programming skills, independent problem-solving, attention to detail, and an interest in finance. Candidates must be highly accomplished academically, proficient in Python and C/C++ on Unix/Linux, and able to communicate complex concepts clearly.