WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets
Job Summary
WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets.
Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market.
WorldQuant offers a 6-month learning and development path with competitive compensation and opportunities to transition to a full-time role.
Matching Summary
WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets.
Skills & Requirements
Must-have
Programming skills (Python/ C++/Java)
Research scientist mind-set
Rigorous exploration of data
Identify high-quality predictive signals
Nice-to-have
Deep learning, LLM, NLP or prompt engineering experience
Continuous improvement attitude
Intellectual horsepower first and foremost
Balancing intellectualism and practicality
Key Requirements
BS (Hons), MS or PhD in Computer Science, AI, Computer Vision, ML, Data Science or Mathematics
Prior quant analysis or trading experience
Participated in mathematics or programming competitions