Teams at Marshall Wace

Design, deploy, and maintain live systematic trading models. Responsibilities include integrating quantitative research into production, building monitoring systems and controls, validating backtesting environments, overseeing capital allocation across strategies, resolving live trading issues, and automating processes at scale. The programme also involves researching and backtesting asset-return forecasts across time horizons ranging from hours to years, with on-the-job training from experienced quantitative professionals.

A 24-month rotational graduate programme across fund accounting, operations, treasury, compliance, and client servicing. Participants develop knowledge of financial markets, fund structures, operational processes, liquidity and risk management, regulatory compliance, and client communications. The programme includes technical training and exposure to SQL, Power BI, AI, and Microsoft Office, with rotations tailored to individual interests, skills, and business needs.

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.