Summer Internship Programme - Investments - Quantitative Investing - 2025

Maths, Analytics, Data, Statistics.

The Summer Internship Programme is for candidates in their penultimate year of a bachelor’s or master’s degree, graduating in 2026.

Life at BlackRock
Wonder what it’s really like to work at BlackRock? Our employees from offices all over the world share their thoughts on what makes our culture so special and unlike any other financial services firm – and what’s kept them here.

This program is designed to provide students with a challenging, meaningful and supportive internship experience that replicates, as closely as possible, the experience of being a full-time BlackRock Analyst. The program begins with an orientation that offers a thorough overview of the firm and the opportunity to hear from a number of senior leaders.

Following orientation, interns receive on-the-job training and are given day-to-day responsibilities to contribute to their teams throughout the summer. Programming also features a speaker series, mentoring and various networking opportunities, including activities with our employee networks.

If you enjoy this program, you should explore our Full-Time Analyst Program, which you can consider applying to after your internship.

Important:

Candidates can apply for only one programme (e.g., Summer Internship Programme or Off-Cycle Internship Programme) and up to two functions within that programme (e.g., Investment Research and Analytics & Modeling). You must apply for both opportunities using the same programme application. If you withdraw your application, you cannot submit another application for this programme this year.

Quantitative Investing

We are looking for the next generation of quantitative investors. We offer a range of opportunities, spanning quantitative research, portfolio management, product strategy and investment technology. BlackRock Systematic is one of the largest quantitative investment managers in the world, with over $200bn in assets under management and 35+ years of systematic investing experience.

We manage hedge funds, longonly active products and outcome-focused portfolios across a wide range of asset classes, geographies and time horizons. We are constantly evolving to sustain our leadership position in quantitative investing – searching to unlock new opportunities presented by emerging technologies in machine learning and artificial intelligence paired with big(ger) data.

We are a pioneer in sustainable investing, a leader in cutting-edge quantitative techniques, and passionate about delivering creative investment solutions for our diverse client base. Our team spans 200+ professionals from a diverse array of professional, academic and cultural backgrounds, speaks 25+ different languages and collaborates across our San Francisco, New York and London offices. The team’s curiosity, diversity and ingenuity drive innovation and insight with the goal of delivering investment returns for clients.

Teams you may be considered for:

It is possible that you will be evaluated for opportunities with teams other than those listed below.

Systematic Active Equity

A pioneering quantitative investment team comprised of industry leaders that applies powerful machine learning techniques to active equity investment strategies. We apply data such as today’s trading activity, internet searches, next year’s economic forecasts, and long-term demographic trends to construct optimal high-breadth portfolios across global public equity markets. We partner with top academics to ensure our research techniques are at the forefront of machine learning and artificial intelligence and constantly look for ways to improve our processes and generate more alpha for our clients.

Factors, Sustainability and Solutions (FS2)

Brings together the research and investment expertise across the BlackRock Systematic Investment platform to drive product innovation, product research and client engagement. Products and client solutions range from systematic return-seeking to factor-based, sustainability and outcome-oriented, spanning all asset classes. We constantly identify new product opportunities and develop the corresponding unique investment models to best serve our clients.

Systematic Fixed Income

A global, multi-asset investment team that combines financial theory, econometrics, market sentiment and groundbreaking statistical techniques to generate alpha across sovereign, corporate and securitised debt instruments. We build and deploy quantitative models, which pick up on market trends and capitalise on relative value opportunities across geographies, sectors and time horizons. The team continuously adapts our investment platform and model suite to a constantly evolving investment landscape.

This function is known for:

  • Collaborative, innovative and inquisitive culture – we strive to solve the most complicated problems in investing
  • Breadth of opportunity set – we invest globally across multiple asset classes, including equities, fixed income, commodities, currencies and private investments
  • Diversity as a core competitive advantage – our team is comprised of a wide range of academic and professional backgrounds, represents dozens of nationalities, and speaks 25+ different languages
  • Multidisciplinary ecosystem – research, portfolio management, technology and strategy collaborate seamlessly to deliver the best outcomes for our clients.
  • Client focus – our clients are our partners, and we are deeply invested in their well-being and success.
  • Sustainability – we view sustainability holistically, and it is as much a part of our team culture as it is an investment outcome we offer our clients.

What will you do as an Analyst?

  • Work with investment teams to design, engineer and implement quantitative investment strategies
  • Conduct investment research using quantitative techniques to unlock new sources of alpha
  • Explore new data sources to determine research applicability
  • Engage in peer review to underwrite new ideas proposed by the platform
  • Perform investment attribution to make strategies better and explain performance inconsistencies
  • Develop your investment savvy in a supportive, collegiate, evidence-based culture

What capabilities are we looking for?

  • Passion for quantitative investing
  • Strong technical problem-solving skills
  • Ability to write efficient, effective computer code (Python)
  • Experience with translating statistical models and algorithms into code
  • Comfort in working with large datasets
  • Inquisitive nature, desire to learn and critical thinking
  • Effective communication and collaboration skills

Your learning & development will include:

  • Contributing to the function’s knowledge base by working on investment or client-related projects
  • Joining daily market-related updates, learning about how our portfolios trade and react to market events
  • Collaborating across multiple business functions to learn the research and product life cycles and our strategies for continued growth
  • Developing an understanding of capital markets, return drivers and economic theory
  • Learning about our clients and their investment strategies; assisting in guiding investors toward achieving their unique investment goals by applying our technology and tools
  • Being part of an innovative, dynamic, diverse team culture and learning from some of the best minds in the business

Benefits

  • Emotional well-being
  • Financial well-being
  • Healthcare benefits
  • Life management
  • Pay for performance
  • Physical well-being

Please click here to see all of our rewards and benefits. 

Next steps:

Once you submit your application, you will receive an email to complete a pre-interview assessment. You have up to five days to submit your pre-interview assessment; if you fail to do so, your application will automatically be withdrawn.

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

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Save to shortlist
Shortlisted
  • Deadline
    Ongoing
  • Starting
    June 2025
  • Hiring Multiple Candidates
    Yes
  • Salary
    Competitive + benefits
  • Degree required
    All grades
  • Duration
    8 weeks
  • Location
    London, Edinburgh and Budapest
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Preferred Disciplines...
  • Analytics
  • Business
  • Data Science
  • Economics
  • FinTech
  • Finance
  • Maths
  • Statistics
Also Accepting...
  • All STEM disciplines
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