Quant Research Intern - London - 2027
Marshall Wace Internship Programmes · Not provided by source
MeritLog read this listing from Marshall Wace Internship Programmes's Greenhouse job board and last checked it on September 11, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- London
Hiring context
How this role compares at Marshall Wace Internship Programmes
Marshall Wace Internship Programmes has 7 live roles in MeritLog’s catalog across 2 job families, and 3 of them are in data & analytics. 1 of those listings publish a pay range, a disclosure rate of 14%.
Marshall Wace Internship Programmes concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- Collaborate with our mentors to develop and implement mathematical models and algorithms.
- Analyse large datasets to identify trends, patterns, and opportunities for investment strategies.
- Present findings and insights to team members and contribute to strategic decision-making.
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
Dates: 28th June - 3rd September 2027. We are unable to facilitate any other dates or longer periods. Location: This internship is only available in our London office. We are seeking highly motivated and talented individuals for our Quantitative Research Internship in London. This is an exciting opportunity to work with a team of experts in the field of quantitative finance and gain hands-on experience in a dynamic and innovative environment. Key Responsibilities: • Collaborate with our mentors to develop and implement mathematical models and algorithms. • Analyse large datasets to identify trends, patterns, and opportunities for investment strategies. • Present findings and insights to team members and contribute to strategic decision-making. About the team Marshall Wace is a leading provider of alternative investment solutions, managing quantitative, systematic, and fundamental strategies with a focus on long/short equity. Our strategies are implemented globally, leveraging proprietary systems and processes. Technology and data have been at the core of our business for more than two decades. In 2002, we launched MW TOPS, the world’s first ‘Alpha Capture’ application. Today, we continue to foster an environment focused on innovation and the pursuit of excellence. Our quantitative researchers are a group of talented individuals with specialisations in a range of subjects including maths, physics, engineering, and computer science. They are responsible for conceptualising, developing, and analysing models for use in our quantitative and systematic strategies as well as our electronic trading processes. They look to reduce risk and cost while maximising returns, with access to a wealth of tools designed to help them build complex models with ease. What we're looking for • Academic achievement: Currently enrolled in a penultimate year of a Master's or PhD program in a STEM subject, set to finish in 2028. • Strong numeracy: Strong mathematical skills with a solid understanding of statistical methods and data analysis. • Superior technical skills: High proficiency in programming languages such as Python, R, or MatLab. • Create value: Excellent problem-solving abilities and attention to detail. • Team player: Strong communication skills and the ability to work collaboratively in a team environment. • “Shoot for the moon” ambition: A passion for innovation and a desire to learn and grow in the field of quantitative finance. • Lead the way: You need to bring innovation at all levels, be tenacious and never settle for the status quo.