WorldQuant Off-Cycle Quantitative Research Internship (2026) — Paris

The WorldQuant Off-Cycle Quantitative Research Internship is a selective six-month placement based in Paris that begins in October 2026. Interns work alongside quantitative researchers on data ingestion, hypothesis generation, and alpha construction for systematic trading strategies. The role requires strong programming skills and quantitative training and embeds participants in production-oriented research and development workflows. The internship targets candidates pursuing or holding graduate and undergraduate degrees in quantitative disciplines.

Candidates should hold or be pursuing a BS, MS, or PhD in quantitative fields such as Mathematics, Physics, Computer Science, Statistics, or Engineering and demonstrate strong Python and shell scripting skills.

Applications are accepted on a rolling basis; candidates apply online and selection is competitive. Roles tend to fill quickly.