Jobs at WorldQuant

Build reliable, scalable AI-first systems for quantitative finance, including LLM-powered applications, intelligent workflows, agentic platforms, and developer tools. Responsibilities include shaping technical architecture, establishing engineering standards, translating ambiguous workflows into measurable solutions, ensuring production reliability, and mentoring engineers in modern AI-assisted development practices.

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

Design, build, and maintain large-scale, high-performance distributed systems and backtesting platforms. Write production-quality Python on Linux, learn/use C++, and apply strong data-structures, algorithms, concurrency, and system-programming skills. Collaborate with researchers to support scalable quantitative research and production trading workflows.

The Book Portfolio Manager will develop systematic strategies, manage a quantitative investment portfolio, and contribute to research and strategic initiatives regarding market inefficiencies.

Develop systematic strategies for various asset classes, manage quantitative investment portfolios, and build a research pipeline while demonstrating a verifiable track record in portfolio management.

The role involves supporting Portfolio Managers with alpha research, modeling, portfolio construction, and developing tools for quantitative trading strategies. Candidates should have strong programming skills and quantitative research experience.

Design, build, and maintain high-performance C++ systems on Linux to support large-scale quantitative research and portfolio production. Develop distributed, scalable tooling, optimize algorithms and concurrency, collaborate with researchers and portfolio managers, and drive platform reliability and performance.