Our Summer Internship Programme is an eight-week internship taking place June through August.

This programme 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 programme 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 programme, you should explore our Full-Time Analyst Programme, which you can consider applying to after your internship.

Teams you may be considered for:

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

• Factors, Sustainability and Solutions (FS2) - FS2 combines 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 unique investment models to best serve our clients.
• Multi-Asset Strategies & Solutions (MASS) - MASS is an investment team that delivers the scale and capabilities of BlackRock to clients across asset classes, products, services and solutions. We are the investment group at the heart of BlackRock’s portfolio construction, asset allocation and active management ecosystem.
• 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. We constantly look for ways to improve our processes and generate more alpha for 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
• Varied perspectives 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 – our approach to sustainability is rooted in our fiduciary duty to our clients, providing choice backed by research, data and analytics to produce the best risk-adjusted returns within client mandates

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 and 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

Who can apply:

Candidates should be in their penultimate year of studies and graduating from an undergraduate or a Master’s degree programme in 2028. We welcome applications from candidates studying any STEM degree subject.

Please note local language fluency is required to work at our Continental Europe locations. However, only English is required for Budapest or for a position within Private Markets Investing in Zurich.

Important:

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

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 be automatically withdrawn.

Application Deadlines:

• London – 30 September 2026

Applications will be reviewed on a rolling basis so we encourage you to apply early.

We look forward to reviewing your application!

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