Quant Research Intern - London - 2027
A summer internship in London for postgraduate students interested in quantitative research and finance, focusing on mathematical modelling, data analysis, and programming.
London
Postgraduate
Finance
In-Person
not_stated
Last verified: 16 September 2026
About this opportunity
Marshall Wace's Quant Research Internship in London offers highly motivated postgraduate students the opportunity to collaborate with experts in quantitative finance, developing mathematical models and algorithms, analysing large datasets, and contributing to investment strategies. Interns will work in a dynamic environment with a team of talented quants and have access to cutting-edge proprietary tools and processes, all while gaining hands-on industry experience.
Who is it for?
Current penultimate-year Master's or PhD students in STEM subjects, set to graduate in 2028, with a passion for quantitative finance, strong mathematical and technical skills, and an interest in working in London.
What you will gain
Practical experience in quantitative finance, mentorship from industry experts, development of mathematical and data analysis skills, and the chance to contribute to major investment strategies.
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Requirements
Currently enrolled in the penultimate year of a Master's or PhD programme in a STEM field, set to finish in 2028; strong numeracy and programming skills (Python, R, or MatLab); strong communication and problem-solving abilities; right to work in London during the internship period, with sponsorship available if needed.
How to apply
Apply online by completing the application form and submitting a CV and optional cover letter. The process includes questions on demographics, academic background, and right to work. Confidentiality in all recruitment matters is required.
Ready to apply?
Visit the official Marshall Wace page to apply for this opportunity.
Always confirm eligibility, deadlines, and requirements directly on the official Marshall Wace website before applying. Nentra does not guarantee the accuracy of third-party programme details.
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