Quant Research - Quant Association Programme - 2027

Marshall Wace - Graduate & Associate roles•New York, NY

4d•$150,000 - $165,000•Hybrid

About The Position

This program is designed for high-calibre, highly numerate individuals to work within quantitative teams. It offers a fast-paced and meritocratic environment where participants are encouraged to apply their own initiative and challenge conventional wisdom. The role involves delivering on the research agenda, backtesting, and researching forecasts of asset returns on various horizons. Participants will be part of a select cohort receiving on-the-job training from experienced colleagues. The work focuses on researching, developing, and refining predictive signals and models that drive investment strategies, turning data into alpha. This includes statistical modelling, machine learning, large-scale data analysis, and signal research: sourcing and exploring novel datasets, designing and validating trading signals, rigorously backtesting hypotheses against real market conditions, and collaborating with portfolio managers to bring the strongest ideas into production. It is an intellectually demanding role where individuals will push the boundaries of what models can capture and continually sharpen the company's competitive advantage.

Requirements

High-calibre, highly numerate individuals
Participants tend to be one of the top students at their university

Nice To Haves

Previous associates are now involved in creating and optimizing our signature systematic trading models.

Responsibilities

Delivering on the research agenda
Backtesting and researching forecasts of asset returns on horizons of hours to years
Researching, developing, and refining predictive signals and models
Sourcing and exploring novel datasets
Designing and validating trading signals
Rigorously backtesting hypotheses against real market conditions
Collaborating with portfolio managers to bring the strongest ideas into production