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 in London rotating across multiple software and infrastructure teams. Participants work on one or two impactful projects, receive mentoring, seminars with senior staff, and gain broad exposure to engineering disciplines, development styles, and business functions to build technical foundations and choose a long-term path.