Top Tech Jobs & Startup Jobs

The role involves writing low latency C++ code, implementing trading infrastructure, and adapting systems for the next generation trading platform, requiring collaboration with portfolio managers.

Support Portfolio Managers with alpha research, modeling, and implementation of quantitative trading strategies while building tools for quantitative research.

Develop systematic strategies to exploit market inefficiencies, manage a quantitative investment portfolio, and build a research pipeline.

Design, build, and operate large-scale backend services and data pipelines for research and investment workflows. Architect data storage and processing solutions, build APIs and messaging layers, drive technical decisions, break down ambiguous requirements, diagnose production issues, and improve engineering practices including testing, CI/CD, and observability. Mentor peers and communicate trade-offs to stakeholders.

Develop and manage systematic strategies for a diverse range of asset classes, utilizing quantitative management techniques to drive investment portfolios.

Lead a high-performing team to manage electronic execution, focusing on recruitment, development, and collaboration while adapting best engineering practices.

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

Design, implement, test and deploy high-performance, large-scale software systems to support quantitative research and production portfolios. Own Linux/C++ codebases, apply system programming, concurrency, and data structures expertise, and collaborate with researchers to build scalable distributed and streaming data platforms.

Conduct ML research to produce predictive trading signals, design deep learning architectures, apply LLM-based agentic methods, implement signal compression and combination, build model frameworks for investment use, and collaborate with portfolio managers and researchers.

Monitor automated execution across equities, FX, futures and other asset classes; provide first-line support for execution flow; analyze large datasets to improve automation and reduce implementation costs; run projects to add liquidity and lower execution costs; interface with portfolio managers, brokers, risk, compliance and senior management.