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About the Role
This internship offers a unique opportunity to collaborate with experts in quantitative finance, gaining practical experience within a dynamic and innovative setting. You will contribute to developing and analyzing models for quantitative and systematic strategies, aiming to reduce risk, minimize costs, and maximize returns.
Responsibilities
- Collaborate with mentors to develop and implement mathematical models and algorithms.
- Analyze large datasets to identify trends, patterns, and opportunities for investment strategies.
- Present findings and insights to team members and contribute to strategic decision-making.
Requirements
- Currently enrolled in a penultimate year of a Master's or PhD program in a STEM subject, set to finish in 2027.
- Strong mathematical skills with a solid understanding of statistical methods and data analysis.
- High proficiency in programming languages such as Python, R, or MatLab.
- Excellent problem-solving abilities 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.
- Tenacity and a drive for innovation, with a refusal to settle for the status quo.
Skills
- Python
- R
- MatLab
- Statistical methods
- Data analysis
- Mathematical modeling
- Algorithm development
- Quantitative finance
Location
- London
Work Type
- Internship
- Full-time
Experience Level
- Internship
Education Level
- Master's degree
- PhD
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.
- Strategies are implemented globally, leveraging proprietary systems and processes.
- Technology and data have been central to the business for over two decades.
- Launched MW TOPS, the world’s first ‘Alpha Capture’ application in 2002.
- Fosters an environment focused on innovation and the pursuit of excellence.
- Quantitative researchers specialize in mathematics, physics, engineering, and computer science.
- Researchers conceptualize, develop, and analyze models for quantitative and systematic strategies, and electronic trading processes.
- Aim to reduce risk and cost while maximizing returns, utilizing advanced tools for model building.