Research, develop, and refine predictive signals and quantitative models for systematic investment strategies. Responsibilities include sourcing novel datasets, statistical modeling, machine learning, large-scale data analysis, designing and validating trading signals, backtesting hypotheses across market conditions, and collaborating with portfolio managers to deploy successful ideas.

18-24 month graduate programme based in New York offering rotations across multiple software and infrastructure teams. Participants work on 1-2 impactful projects, receive mentoring, attend seminars, and gain exposure to various engineering disciplines to develop technical skills and career direction.