Description
WorldQuant is hiring a Quantitative Researcher to develop systematic financial strategies and high-quality predictive signals, or alphas, using proprietary research and quantitative models. The role involves exploring data-driven approaches to global financial markets, building computer-based predictive models, and applying mathematical expressions to investment strategies. Candidates should have a strong quantitative or analytical background, knowledge of linear algebra, statistics, and machine learning, programming ability in Python or Unix, strong English skills, and a research scientist mindset; prior finance or trading experience is a plus but not required.
