Quant Developer - Quant Associate Programme - 2027

Posted 25 Days Ago
Be an Early Applicant
Lyndon, NY, USA
In-Office
150K-165K Annually
Entry level
Financial Services
The Role
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.
Summary Generated by Built In

Start Date: Flexible between January and September 2027

Location: London, New York

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. 

 We all share a tireless drive for innovation and participants tend to be one of the top students at their university. 

 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 Implementation

The heartbeat of our systematic trading business. You will design, deploy, and maintain our cutting-edge live trading models - turning research into real-time action. The work spans systematic trading, technology, live performance monitoring, and quant portfolio management: integrating new research into production, building systems and controls to monitor live models, ensuring our back testing environment accurately describes reality, and overseeing capital allocation across hundreds of live strategies. This is a fast-paced role where you will resolve live trading issues and drive automation at scale. 

What we look for: 

  • A minimum of a Master's degree in a highly quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, Engineering, or a related field
  • Advanced programming skills in Python, C++, or similar languages
  • A solid foundation in statistics, probability, and numerical methods
  • Genuine interest in financial markets and systematic trading
  • Sharp problem-solving ability and a rigorous, analytical mindset
  • The ability to work under pressure and manage competing priorities in a fast-paced, live trading environment
  • Clear communication skills - you can explain complex technical concepts to a range of audiences
  • A proactive, self-starter attitude with the drive to take ownership of projects from day one

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.



Skills Required

  • Highly numerate background
  • High-calibre academic or professional profile
  • Free-thinking mindset and ability to challenge conventional wisdom
  • Ability to apply initiative in a fast-paced, meritocratic environment
  • University student or graduate-level academic achievement
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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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