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Summer Internship Programme - Analytics & Risk - Quantitative Modelling


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The Summer Internship Programme is for candidates in their penultimate year of study (graduating August 2023 - July 2024) and obtaining their Bachelor’s or Master’s degree.

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.

Our Summer Internship Programme is designed to provide students 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 a Summer Intern orientation which 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.

The programme also includes a speaker series, mentoring programme, and various networking opportunities. The campus recruiting team also partners very closely with the firm Employee Networks to ensure the summer interns can learn and interact with our employee networks and learn about our Inclusion & Diversity initiatives. The firm is highly committed to the Summer Internship Programme and it is the main pipeline into our Analyst Programme.  

Quantitative Modelling

The Quantitative Modelling group is responsible for researching, developing and implementing state-of-the-art quantitative models used to assess financial risk across fixed income, equities, derivatives, and alternative products. We use the expertise of our model researchers and our engineers, along with the collective intelligence of our partners across BlackRock and our client community, in order to deliver quantitative solutions and insights to help analyse investments and manage risk.

What will you do as an analyst?

  • Build and implement new and improved financial models on the Aladdin platform
  • Engineer next-generation data and model platforms through use of cutting-edge technologies
  • Apply quantitative and analytical skills to solve business problems and fulfill client requests
  • Communicate sophisticated models to clients and end users with varying technical backgrounds
  • Build financial and statistical knowledge while improving quantitative skills
  • Contribute to high-profile projects that advance BlackRock’s top strategic priorities

What capabilities are we looking for?

  • For developer/engineer roles, proficiency in Java, C++, or other languages/technologies is required
  • For model research roles, experience in systems such as R is strongly preferred
  • Analytical approach
  • Critical thinking
  • Numerical skills
  • Problem solving
  • Technical curiosity

Your learning & development will include:

  • Developing your quantitative, analytical problem-solving skills
  • Growing your understanding of risk analytics and how investors use them in managing portfolios
  • Learning how technology platforms work to deliver quantitative insights reliably and at scale
  • Gaining experience working with teams to run sophisticated projects and meet clients' needs


  • Employee Assistance Programme – free, confidential counselling
  • Volunteering opportunities
  • Discretionary annual bonus
  • Flexible Time Off

Next steps:

Once you submit your application you will immediately be invited to submit a Virtual Cover Letter and/or take a CodeVue assessment depending on the vacancy or vacancies you apply to. You must submit your Virtual Cover Letter and/or the CodeVue assessment within 5 calendar days, as failure to do so will result in your application being automatically withdrawn.


The recruitment process takes place throughout the autumn semester. In some businesses, certain teams may recruit through to early next year. Please note, we recruit on a rolling basis and encourage you to apply as soon as you’re ready.

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Opportunity Overview

  • Deadline: November 11th, 2022
  • Multiple vacancies
  • Starting Salary: Competitive + benefits
  • All grades
  • 8 weeks
  • London and Edinburgh
    (Show map)

Preferred Disciplines...

  • Analytics
  • Data Science
  • Finance
  • Maths
  • Statistics

Also Accepting...

  • All STEM disciplines

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