2027 Full-Time Analyst Programme - Investments - Quantitative Investing

Analytics, Finance, Data, Statistics, Maths, IT.

The Full-Time Analyst Programme is for candidates who graduated with a Bachelor’s or Master’s degree between June 2026 - July 2027. Please note the Analyst Programme start date is in August, with earlier start dates considered.

Our Full-Time Analyst Programme is a two-year experience designed to empower and support Analysts in connecting their personal passions and strengths to BlackRock’s mission, principles and purpose. The programme begins with an orientation to learn about our purpose, business and strategic priorities - all while gaining insights into the day-to-day life of an Analyst at BlackRock.

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Following orientation, Analysts join their teams and stay connected with colleagues across the globe through ongoing training and professional development. This programme offers Analysts the chance to have a lasting impact on the firm and contribute to our greater collective purpose of helping more and more people experience financial well-being.

Teams you may be considered for:

  • 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

Application process:

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.

Eligibility:

Candidates should be graduating from an undergraduate or Master’s degree programme between June 2026 - July 2027. 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.

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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Save to shortlist
Shortlisted
  • Deadline
    September 30th, 2026
  • Starting
    August 2027
  • Hiring Multiple Candidates
    Yes
  • Salary
    Competitive + benefits
  • Degree required
    Bachelor's
  • Location
    London
Show location/s on map
Preferred Disciplines...
  • Accountancy
  • Analytics/Statistics
  • Business
  • Data Science
  • Economics
  • FinTech/Finance
  • Information Technology
  • Maths
Also Accepting...
  • Most STEM disciplines

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