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EY
at EY

Technology Risk – Data Assurance Graduate Programme

Top Graduate Employer
About 4.4/5
Deadline: Ongoing
Job Type:
Graduate Scheme
Job Roles:
Data Analysis
Information Technology
Artificial Intelligence (AI)
Locations:
London

Job Description

Shape trust and confidence in data and AI-driven decisions

Programme Overview:

On the Technology Risk – Data Assurance Graduate Programme, you’ll shape the future with confidence by helping organisations build trust in their data and use AI responsibly. You’ll work in inclusive, high-performing teams, assessing data quality, governance and emerging technology risks. As a Shaper of the future, you’ll build future-ready skills at the intersection of risk, data and AI, creating insight, improving decisions and strengthening trust for clients and society.

Core skills for success:

  • Analytical thinking — interpreting complex data, controls and processes to evaluate risk and confidence in outcomes
  • Digital, data and AI fluency — understanding data governance, analytics, AI and automation in modern technology environments
  • Learning agility and curiosity — continuously building knowledge in evolving areas such as AI, data risk and emerging regulation
  • Integrity — acting with accountability to protect trust in data‑driven decisions
  • Collaboration — working in inclusive teams and explaining complex risks clearly to clients
  • Adaptability — responding confidently as technology, regulation and client needs evolve

What you will be doing:

  • Assess clients’ data, AI and technology environments to identify risks and build trust in decision‑making
  • Use data, analytics, technology and emerging AI tools to deliver assurance and generate meaningful insights
  • Collaborate with EY teams and clients to understand business processes, systems and data flows
  • Develop your skills through hands‑on experience, coaching and structured learning in data, risk and technology

How to apply

To apply for this role and to find out more, please click on the apply button. Please note that applications may close before the application deadline, so apply early to avoid disappointment.


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