Internship
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Quantitative Masters Internship Programme - Investments - Quantitative Investing

BlackRock
London

Expected closing date: Friday, 13 November 2026

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TL;DR

Key Takeaways

  • Eight-week Quantitative Master’s Internship in the UK for quantitative master's students.
  • Requires graduation between August 2027 and July 2028, with at least one year of relevant work experience.
  • Opportunities in quantitative research, portfolio management, product strategy, and investment technology.
  • Applications close on 13 November 2026.

About the Role

About the Internship

This is an immersive eight-week experience in the UK, offering a clear window into life as a BlackRock Associate. It is designed for specialised master’s students in quantitative fields, providing hands-on exposure to the work, people, and impact at BlackRock.

Eligibility

  • Students enrolled in analytics, computer science, engineering, mathematics, or another quantitative-focused master’s programme.
  • Graduating between August 2027 and July 2028.
  • At least one year of relevant work experience.

About Quantitative Investing at BlackRock

BlackRock is looking for the next generation of quantitative investors, offering opportunities in quantitative research, portfolio management, product strategy, and investment technology.

BlackRock Systematic is a leading global quantitative investment manager with over $200bn in assets under management and over 35 years of experience. They manage various products across different asset classes and employ cutting-edge techniques in machine learning and artificial intelligence, alongside big data.

The team comprises over 200 professionals from diverse backgrounds, collaborating across San Francisco, New York, and London offices.

Potential Teams

  • Factors, Sustainability and Solutions (FS2): Drives product innovation, research, and client engagement by combining research and investment expertise. Focuses on systematic return-seeking, factor-based, sustainability, and outcome-oriented solutions across all asset classes.
  • Systematic Active Equity: A quantitative investment team using machine learning techniques for active equity strategies. They analyse diverse data sources to construct global portfolios and partner with academics to stay at the forefront of research.
  • Systematic Fixed Income: A global, multi-asset investment team that uses financial theory, econometrics, and statistical techniques to generate alpha in debt instruments. They build and deploy quantitative models to identify market trends and opportunities.

What We Look For

  • Passion for quantitative investing.
  • Strong technical problem-solving skills.
  • Ability to write efficient code (Python).
  • Experience translating statistical models and algorithms into code.
  • Comfort working with large datasets.
  • Inquisitive nature, desire to learn, and critical thinking.
  • Effective communication and collaboration skills.
  • Curiosity, learning agility, and sound judgment in technology-enabled decision-making.
  • Enthusiasm for AI, emerging technologies, and continuous innovation.

Learning and Development

  • Contribute to the function’s knowledge base through investment or client-related projects.
  • Participate in daily market updates and learn about portfolio trading and market event reactions.
  • Collaborate across business functions to understand research, product life cycles, and growth strategies.
  • Develop an understanding of capital markets, return drivers, and economic theory.
  • Learn about clients and their investment strategies, assisting in guiding investors toward their goals.
  • Be part of an innovative, dynamic, and diverse team culture.

Benefits

BlackRock offers a wide range of benefits, including retirement investment tools, education reimbursement, comprehensive physical and emotional well-being resources, family support programs, and Flexible Time Off (FTO).

Hybrid Work Model

Employees are required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some groups may require more in-office time. This model is designed to foster collaboration and apprenticeship, accelerating learning and onboarding.