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About the Role
This role is designed for high-calibre, highly numerate individuals within our quantitative teams. You will be encouraged to apply your own initiative and challenge conventional wisdom, delivering on the research agenda and back testing/researching forecasts of asset returns. Participants tend to be top students, with previous associates now involved in creating and optimizing systematic trading models. As a member of the Quantitative Associate Programme, you will receive on-the-job training from experienced colleagues.
Responsibilities
- Research, develop, and refine predictive signals and models that drive investment strategies.
- Turn data into alpha.
- Source and explore novel datasets.
- Design and validate trading signals.
- Rigorously backtest hypotheses against real market conditions.
- Collaborate with portfolio managers to bring the strongest ideas into production.
- Push the boundaries of what models can capture.
- Continually sharpen competitive advantage.
Requirements
- High-calibre, highly numerate individuals.
- Free thinkers.
- Ability to apply own initiative.
- Ability to challenge conventional wisdom.
- Tireless drive for innovation.
Skills
- Statistical modelling
- Machine learning
- Large-scale data analysis
- Signal research
Location
- London
- New York
Work Type
- Full-time
Experience Level
- Associate
Education Level
- Top students at university
Salary/Compensations
- $150,000 - $165,000
Benefits
- Discretionary bonus
- Benefits
About the Company
- Marshall Wace is a firm that values free thinkers and has created a fast-paced and meritocratic environment.
- We all share a tireless drive for innovation.
Equal Opportunity
- Marshall Wace is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.