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Marshall Wace

Global provider of alternative investments

AI Placement Intern

AI Application Engineering +1Confirmed live in the last 24 hours
Internship · Spring 2027, Fall 2027London, UKNo salary listedIn-person

About the Job

Requirements

  • Strong coding ability, ideally in Python.
  • Demonstrated interest or coursework in machine learning and artificial intelligence through personal projects and research.
  • Candidates must have already covered artificial intelligence or machine learning topics in their studies and demonstrate technical depth in this area.

Responsibilities

  • Work on projects supporting Finance, Operations, Risk, Trading and Portfolio Management.
  • Write production code, ship features and own deliverables.
  • Build services, models and data assets that bring generative artificial intelligence into the firm's investment and operations workflows.
  • Develop skills in artificial intelligence, software engineering and programming, and build an understanding of how a systematic hedge fund operates.
  • Add features to the artificial intelligence platform, develop backend services, build large language model pipelines or improve the retrieval-augmented generation engine.
  • Own specific projects end to end, from design through development, implementation and review.
  • Design and train models for use cases across the firm when there is a strong interest and aptitude in machine learning.

Desired Qualifications

  • Prior project work or coursework in machine learning, particularly personal projects demonstrating interest.

About the Company

Marshall Wace

Global provider of alternative investments

Marshall Wace provides alternative investment solutions to clients around the world. It uses a global, integrated team to design and manage a range of investment strategies focused on delivering risk-adjusted returns for institutions and other investors. The firm works to build long-term client relationships based on trust and integrity, and emphasizes continuous improvement and fresh thinking to create proprietary value that benefits clients. Its products are different from traditional funds in their emphasis on alternative strategies and customized, research-driven approaches, aiming to achieve better outcomes through disciplined, differentiated investment methods. The goal is to grow client value by offering thoughtful, proprietary investment strategies that align with clients’ needs and risk tolerances.

Company size
501-1,000
Company stage
Not listed
Total funding
$8.9B
Headquarters
London, United Kingdom
Founded
1997

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