Quant Research Intern –

Quant Research Intern – Overview

This internship opportunity is designed for highly motivated individuals eager to gain practical experience in quantitative finance. The Quant Research Internship at our London office offers a chance to work alongside experts in the field, providing a dynamic and innovative environment for learning and development.

Key Responsibilities

• Work closely with mentors to design and execute mathematical models and algorithms.
• Examine extensive datasets to uncover trends, patterns, and potential investment strategies.
• Share insights and findings with team members to aid in strategic decision-making.

About the Team

Marshall Wace is a prominent provider of alternative investment solutions, managing various quantitative, systematic, and fundamental strategies with a focus on long/short equity. Our global strategies leverage proprietary systems and processes, with technology and data at the core of our operations for over two decades. We launched MW TOPS in 2002, the world’s first ‘Alpha Capture’ application, and continue to foster an environment that prioritizes innovation and excellence. Our quantitative researchers, who specialize in diverse fields such as mathematics, physics, engineering, and computer science, are tasked with conceptualizing, developing, and analyzing models for our quantitative and systematic strategies as well as electronic trading processes. They strive to minimize risk and costs while maximizing returns, utilizing a wide array of tools to facilitate the construction of complex models.

What We’re Looking For

• Currently enrolled in the penultimate year of a Master’s or PhD program in a STEM field, expected to graduate in 2028.
• Strong mathematical abilities and a solid understanding of statistical methods and data analysis.
• High proficiency in programming languages such as Python, R, or MatLab.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a team environment.
• A passion for innovation and a desire to learn and grow in the field of quantitative finance.
• Proactive in bringing innovation at all levels and a determination to challenge the status quo.

Degree Requirement: Bachelor’s

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