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Quant Research Intern

Min Experience

0 years

Location

London

JobType

internship

About the job

Info This job is sourced from a job board

About the role

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.

About the company

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.

Skills

maths
physics
engineering
computer science