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.
Along the way, you’ll follow a structured development journey that may include professional learning, training and, where relevant, qualifications aligned to your role.
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
Eligibility for applying
You will need to be working towards an honours degree in a technology related discipline such as Computer Science, Maths, Statistics, Engineering, Data Science, have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, or in your home language if you do not hold English Language GCSE, and three A-levels/Five Highers (or equivalent) to be eligible to apply.
Experience with a programming language (such as VBA, SQL, Python, R etc.) is also beneficial along with a passion for data.
While we welcome applications from candidates of all academic backgrounds, we are looking to recruit individuals who will succeed at EY in the role and future qualifications. We have completed several studies on academic attainment at A level (or equivalents), candidate performance in the online assessments in the EY recruitment process, and how that predicts future performance at EY.
Throughout the recruitment process, we therefore assess your suitability for the EY role you have applied to by considering your scores in the online assessments and your academic attainment at A level or equivalent. This approach is designed to ensure our joiners are successful in role and, where relevant, in the achievement of their professional qualifications. It is important to EY, and we have a duty of care which we take very seriously, to ensure our joiners are set up for long-term success.
We are also proud to partner with RARE recruitment, so that your application can be processed in the context of your socio-economic background. This allows us to give you the maximum credit for your achievements, assessing whether you have overachieved in light of your personal circumstances.
