Top Tech Jobs & Startup Jobs in London

Lead the development of AI-driven solutions, architect scalable AI products, mentor junior engineers, and integrate AI across the organization.

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 core components of a distributed data platform (storage, compute, RPC/networking, coordination). Collaborate with researchers and engineers to translate requirements, troubleshoot production issues, participate in code review, system design, and productionization.

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.

As an AI Software Developer, you'll create AI-driven solutions, collaborate with teams, gather requirements, and manage product deliverables in a financial context.

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.

As a Quantitative Developer, you'll design, code, and implement proprietary systems to realize research ideas and solve complex problems, collaborating with researchers and portfolio managers.

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.