Quant Research - Quant Association Programme - 2027

Posted 3 Days Ago
Be an Early Applicant
2 Locations
In-Office
150K-165K Annually
Entry level
Financial Services
The Role
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.
Summary Generated by Built In

Start Date: Flexible between January and September 2027

Location: London/ New York (note we have significantly more opportunities available in London)

About the programme 

You will be working in a position designed for high-calibre, highly numerate individuals within our quantitative teams. We value free thinkers, and we have created a fast-paced and meritocratic environment where you will be encouraged to apply your own initiative and challenge conventional wisdom. You will be delivering on the research agenda, in addition to back testing/researching forecasts of asset returns on horizons of hours to years. 

 We all share a tireless drive for innovation and participants tend to be one of the top students at their university. Previous associates are now involved in creating and optimising our signature systematic trading models.  

 As a member of our Quantitative Associate Programme you will be part of a select cohort receiving on the job training from experienced colleagues who have a matchless record of helping high performing individuals reach their true potential. 

Quant Research

You will research, develop, and refine the predictive signals and models that drive our investment strategies — turning data into alpha. The work spans 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. This is an intellectually demanding role where you will push the boundaries of what our models can capture and continually sharpen our competitive advantage.

Find out more here: https://www.mwam.com/quantitative-associate-programme/ 

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.

In accordance with New York State and New York City pay transparency laws, the annual base salary for this position is $150,000 - $165,000. Actual compensation may vary based on factors such as experience, qualifications, and location. This role may also be eligible for a discretionary bonus and benefits.

Skills Required

  • Highly numerate individual
  • High-calibre academic or quantitative ability
  • Top student at a university
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The Company
HQ: London
429 Employees
Year Founded: 1997

What We Do

Founded in 1997, Marshall Wace is a global asset manager offering a diverse set of alternative, long-only and bespoke investment solutions to a broad range of investors.

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