Spring Insight Event - Technology - Artificial Intelligence - 2025

Analytics, AI, Data, Software, FinTech.

Our Spring Insight is a week-long event taking place in our London and Edinburgh offices in April 2025 for students of all academic backgrounds who will graduate with an undergraduate or master’s degree in 2027.

Spring Insight is an immersive experience into one of our business areas where you’ll participate in work shadowing, a group project, networking and social events. By the end of the week, you’ll be well on your way to being a true student of the markets. We think it’s important to have an open mind about where you begin your career so you’ll be able to apply to experience up to two functions.

BlackRock: About Us
Since our founding more than 30 years ago, we have built a resilient and diverse global asset management and technology firm in the service of all our stakeholders. Learn how we’re investing for the future.

Important:

Candidates can apply for 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.

Artificial Intelligence

At BlackRock, we leverage Artificial Intelligence (AI) to drive innovation and improve the efficiency of our operations. Our AI teams are composed of talented individuals who work on developing and implementing cutting-edge AI technologies to solve complex business problems.

Teams you may be considered for:

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

Aladdin Engineering

We build products and services to meet the needs of BlackRock and our clients. The team is made up of software engineers, data scientists, data engineers, quant developers, DevOps engineers, product managers, business analysts, UX engineers, UX designers and more – all working to drive innovation in the financial services industry

Analytics

  • Applied Analytics: Enhancing outcomes for investment decisions with actionable portfolio insights through analytics.
  • Analytics Delivery & Adoption: Analytics and model delivery to our partners through thought leadership and platform initiatives.

Quantitative Modeling

Research and develop financial models underpinning risk management analytics.

AI Labs

Software engineers at BlackRock get to experience working at one of the most recognised financial companies in the world while being part of a software development team responsible for next-generation technologies and solutions. Our engineers design and build large-scale data storage, computation and distribution systems. They partner with data and analytics experts to deliver high-quality analytical and derived data to our clients.

Data

Data is at the heart of Aladdin, and increasingly, the ability to consume, store, analyse and gain insight from data has become a key component of our competitive advantage. Our goal is to build and maintain a leading edge data platform that provides highly available, consistent data of the highest quality for all users of the platform – notably investors, operations teams and data scientists. We focus on evolving our platform to deliver exponential scale to the firm, powering the future growth of Aladdin.

This function is known for:

  • Using AI, such as machine learning and generative AI, to develop predictive models, optimisation techniques, automate processes and generate insights from large datasets 
  • Applying AI within investments, user experience and productivity

What will you do as an Analyst?

  • Be part of a dynamic team that is constantly pushing the boundaries of what is possible with AI
  • Developing and implementing cutting-edge AI technologies to solve complex business problems

What capabilities are we looking for?

  • Strong analytical and problem-solving skills
  • Proficiency in programming languages, such as Python
  • Experience with machine learning frameworks and tools; knowledge of data analysis and visualisation techniques may be beneficial
  • Excellent communication and collaboration skills

Your learning & development will include:

  • Learning from experienced professionals in the field
  • Applying state-of-the-art techniques to build products that solve real-world problems
  • Working with stakeholders to understand what’s important to them and creating relevant solutions

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 be automatically withdrawn.

We look forward to reviewing your application!

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Save to shortlist
Shortlisted
  • Deadline
    Ongoing
  • Starting
    April 2025
  • Hiring Multiple Candidates
    Yes
  • Salary
    Not applicable
  • Degree required
    All grades
  • Duration
    Spring Insight: 1 week (April 2025)
  • Location
    London and Edinburgh
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Preferred Disciplines...
  • Analytics
  • Artificial Intelligence
  • Computer Science
  • Data Science
  • FinTech
  • Information Technology
  • Maths
  • Robotics
  • Software
  • Statistics
Also Accepting...
  • All STEM disciplines
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