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Graduate Opportunity

Analyst Programme - Analytics & Risk - Data Operations

Finance/Maths/Analytics.

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The Analyst Programme is for candidates who have graduated or will be graduating from a Bachelor's or Master's degree programme between July 2022 - July 2023.

The Analyst Programme is a multi-year experiential journey 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.

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.

Following orientation, Analysts join their team 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 to help more and more people experience financial well-being.

Data Operations

BlackRock’s Data Platform & Services team are responsible for the data ecosystem within BlackRock – building and maintaining a groundbreaking data platform that provides quality data to all users of the Aladdin platform including investors, operations staff, data scientists, and engineers. Our goal is to provide highly available data of the highest quality to our clients, while evolving our platform to deliver exponential scale to the firm and powering the future growth of Aladdin. We engineer high performance data pipelines, provide a fabric to discover and consume data, and continually evolve our data storage capabilities. We believe deeply in our Agile operating model, and know that a strong Product Manager is essential to our success.

What will you do as an analyst?

  • Gain exposure to multiple business areas and investment products across the firm
  • Be challenged to think innovatively and creatively in order to solve complex business and operational issues
  • Analyse trends in queries to improve client deliverables
  • Evaluate systems, processes and procedures for inefficiencies and make recommendations for improvement
  • Be part of and develop within a truly global and innovative group
  • Participate across one of our core operational function which include
  • Data Management
  • Security modeling
  • Pricing
  • G.P. Report production
  • Analytics Quality Control
  • Client Data Services
  • Technical analysts will join our Data Engineering team and participate in platform design and transformation, and process optimisation initiatives

What capabilities are we looking for?

  • Analytical approach
  • Critical thinking
  • Problem solving
  • Project management
  • Technical curiosity
  • Programming knowledge (Engineering roles only)

Benefits

  • 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.

Deadlines:

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
  • London and Edinburgh
    (Show map)

Preferred Disciplines...

  • Analytics
  • Data Science
  • Finance
  • Maths
  • Statistics

Also Accepting...

  • All STEM disciplines

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