Brevan Howard is seeking a highly skilled Data Scientist to join their portfolio management team in Geneva. The role involves working on advanced data-driven research projects using cutting-edge AI technologies, collaborating closely with senior portfolio managers and research analysts to develop innovative analytical solutions.
Primary responsibilities include designing and developing research workflows, data science tools, and infrastructure for conducting complex statistical analyses across large, diverse datasets. The role requires building scalable solutions that can effectively process and analyze financial data using advanced computational techniques.
Essential requirements include a PhD or Master's in a quantitative field such as computer science, statistics, or mathematics, with demonstrable strong programming skills in Python, Java, SQL, and extensive experience in machine learning techniques, statistical analysis, and handling large complex datasets. Candidates must have deep expertise in supervised/unsupervised learning, natural language processing, and deep learning methodologies.
Brevan Howard offers an opportunity to work in a dynamic, entrepreneurial environment within a leading global asset management firm. The role provides exposure to cutting-edge financial technologies, collaborative research opportunities, and the chance to develop innovative data-driven solutions in a global, professionally supportive environment.
