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Quantitative Advisory Services Graduate Programme - London

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EY

Jan 12, 2024

Applications are closed

  • Job
    Full-time
    Entry Level
  • Software Engineering
  • London

Requirements

  • We operate an open access policy, meaning we don’t screen out applications on your academic performance alone. You will, however, need to be working towards an honours degree in Maths, Statistics, Financial Risk, Physics, Economics, Chemistry, Engineering, Computer Science or similar, have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, and three A-levels/Five Highers (or equivalent) to be eligible to apply. Knowledge in SAS, SQL, Python, R or VBA is an added bonus too.

Responsibilities

  • Working together in a collaborative team environment, where curiosity and questions are encouraged.
  • Analysing data to identify trends.
  • Developing statistical models to predict things such as credit loss.
  • Reviewing and validating models to ensure accuracy of outputs.
  • Performing derivative valuations.
  • Translating technical methodologies and findings into digestible information for non-technical audiences.
  • Presenting work to stakeholders.

Accounting
Industry
1-10
Employees

Mission & Purpose

EY exists to build a better working world, helping create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Find out more about the EY global network http://ey.com/en_gl/legal-statement

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