Quant Research Intern - London - 2027

Marshall Wace Internship Programmes; Greater London; On-site; GBP 5,000 - 7,000; Full time

Job summary

Marshall Wace is offering a Quantitative Research Internship in London. You will work under mentorship to develop and implement mathematical models and algorithms, analysing large datasets to identify trends for investment strategies.

You will present findings to the team and contribute to strategic decision-making, within a collaborative, innovation-driven environment. The 2027 internship runs 28 June to 3 September in our London office.

Qualifications

• Enrolled in penultimate year of a Master's or PhD in a STEM subject, finishing in 2028.
• Strong mathematical skills with understanding of statistics and data analysis.
• Proficient in Python, R, or MATLAB.
• Excellent problem-solving and attention to detail.
• Strong communication and teamwork skills, with a collaborative mindset.

Responsibilities

• Collaborate with mentors to develop and implement mathematical models and algorithms.
• Analyse large datasets to identify trends and opportunities for investment strategies.
• Present findings and insights to the team and contribute to strategic decision-making.

Skills

Strong numeracy

Python

R

MATLAB

Problem-solving

Team player

Innovative mindset

Education

Master's or PhD in STEM

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.