Job description

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: mwam.com 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.

Requirements

Must-haves

Start Date: Flexible between January and September 2027
Location: London, New York
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

python

Platform: greenhouse
Effort: quick