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Quantitative Research Internship

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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. 

Applications for 2026 will open September 1st. 

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 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. 

Programme Benefits

  • A supportive and collaborative work environment with opportunities for professional growth. 
  • Mentorship from experienced professionals in the field. 
  • Competitive compensation for the duration of the internship. 
  • Accommodation for the duration of the internship. 
  • Access to in office benefits; baristas, cooked breakfast & lunch and Gym access Monday- Friday.  

 

Marshall Wace is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. 

 

Candidate Qualities

  • Academic achievement: Currently enrolled in a penultimate year of a Master’s or PhD program in a STEM subject. 
  • 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. 

Candidate Qualities

  • Academic achievement: Currently enrolled in a penultimate year of a Master’s or PhD program in a STEM subject. 
  • 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. 

Meet The Team

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Application Process

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