Teams at WorldQuant

Perform application security reviews, white-box testing, and vulnerability identification; build and operate security tooling (secrets management, OIDC, CA, workload identity); develop continuous audit/code analysis tools; support and extend foundational authentication components (Kerberos, SSH, SSL, AD); collaborate with developers, researchers, and portfolio managers to define and implement security best practices.

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.

WorldQuant seeks a Quantitative Developer to create data pipelines and software for financial strategies, collaborating with the Macro Team.