Analyst Programme - Investments - Trading & Securities Lending - 2025

Analytics, Data, Finance, FinTech, Software.

The Full-Time Analyst Programme is for candidates who will graduate with a bachelor’s or master’s degree between September 2024 and July 2025.

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.

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.

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.

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.

Trading & Securities Lending

Teams you may be considered for:

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

Global Trading

Global Trading leverages deep market expertise and knowledge of supply and demand factors to buy and sell securities to deliver the best possible outcome for our clients.

Securities Lending

BlackRock is a leader in securities lending, with a global presence and a broad footprint across equity and fixed income. Through cutting-edge technology and embedded research, our investment management approach to lending provides superior performance for our clients. In this fast-paced and dynamic environment, BlackRock is a pioneer in using quantitative techniques and sophisticated models to improve the performance of its Securities Lending business.

This function is known for:

  • Trade execution: Finding the best prices and liquidity in buying and selling securities
  • Evolving to serve our clients: Using the firm’s scale to drive innovation in the financial markets and implementing technology solutions to better access supply in the markets
  • Research output: Using BlackRock’s proprietary Transaction Cost Models to evaluate the cost of trading equities, FX, futures, rates and credit. 

What will you do as an Analyst?

  • Execute trades on behalf of our Portfolio Managers
  • Define execution strategies
  • Analyse trading performance
  • Provide quantitative and qualitative analysis on key strategic projects
  • Work closely with internal and external strategic partners to inform changes in products, processes and technology
  • Create client and business presentations for both internal and external audiences
  • Collaborate with business and partner team colleagues to progress our platform agenda; understand technology needs and document requirements; and collaborate with our technology teams to drive innovation
  • Partner with traders on alpha generation projects; learn about financial markets from an outstanding vantage point; understand how our traders manage their books as well as relationships with global financial institutions
  • Conduct sophisticated data analyses through data gathering, processing and data science using languages such as SQL and Python to improve business decision-making and risk controls
  • Partner with product experts to conduct research into new products and deliver on priority initiatives; work with our Legal, Compliance and operational teams to implement change

What capabilities are we looking for?

  • Strong analytical skills, clear & structured thought processes
  • Experience with Excel and other MS Office Applications
  • Proficiency with data analysis languages like SQL, broad knowledge with querying databases, and data science and analysis languages such as Python, and/or R preferred
  • Comfort with technical skills such as VBA, Business Objects, Unix) preferred
  • Excellent written and verbal communication skills
  • High level of energy, drive and self-motivation • Attention to detail and an appetite to learn
  • Ability to prioritise and deliver assignments as promised
  • Distilling large amounts of data
  • Outcome driven
  • Technical acumen
  • Curiosity in the financial markets

Your learning & development will include:

  • A range of opportunities to learn and grow, such as training programs, mentorship, and on-the-job learning

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!

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.

We've signed the Gradcracker feedback pledge.
(This means that we will supply feedback if requested after an interview.)

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Save to shortlist
Shortlisted
  • Deadline
    September 27th, 2024
  • Starting
    August 2025
  • Hiring Multiple Candidates
    Yes
  • Salary
    Competitive + benefits
  • Degree required
    All grades
  • Location
    London, Edinburgh and Budapest
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Preferred Disciplines...
  • Analytics
  • Business
  • Computer Science
  • Data Science
  • FinTech
  • Finance
  • Maths
  • Software
  • Statistics
  • Systems
Also Accepting...
  • All STEM disciplines
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