Quant Research Intern — London, Data-Driven Finance

Wayne State University; Greater London; Hybrid; GBP 17,000 - 23,000; Full time

Job summary

Marshall Wace in London is offering a Quantitative Research Internship for 2027, running 28 June to 3 September, based in our London office. You will work with mentors to develop models, analyse large datasets, and present findings to the team.

Ideal candidates are in the penultimate year of a Master’s or PhD in STEM, with strong numeracy, knowledge of Python/R/MatLab, and a passion for problem solving, teamwork, and growth in quantitative finance.

Qualifications

• Penultimate year of a Master’s or PhD in a STEM subject, finishing in 2027.
• Strong mathematical skills with understanding of statistics and data analysis.
• Proficiency in Python, R, or MatLab for modelling and analysis.

Responsibilities

• Collaborate with 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 the team and contribute to strategic decision-making.

Skills

Penultimate year Master’s/PhD

Numeracy

Python/R/MatLab

Problem solving

Team player

Ambition for innovation

Lead and innovate

Education

Master’s or PhD in STEM (penultimate year, 2027)

Tools

Python

R

MatLab

Job description

Marshall Wace in London is offering a Quantitative Research Internship for 2027, running 28 June to 3 September, based in our London office. You will work with mentors to develop models, analyse large datasets, and present findings to the team.

Ideal candidates are in the penultimate year of a Master’s or PhD in STEM, with strong numeracy, knowledge of Python/R/MatLab, and a passion for problem solving, teamwork, and growth in quantitative finance.