Technology Risk – Data Assurance Graduate Programme - September 2027

Prospects; Greater London; On-site; GBP 30,000 - 36,000; Full time

Job summary

EY's Technology Risk – Data Assurance Graduate Programme invites you to shape trust in data and AI-driven decisions. You’ll assess data quality, governance and emerging technology risks in inclusive, high‑performing teams.

You’ll develop skills through hands-on experience, coaching and structured learning in data, risk and technology, while collaborating with EY teams and clients to understand business processes and data flows.

Responsibilities

• 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
• 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

Job description

Shape trust and confidence in data and AI-driven decisions 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.

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
• 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

Empower diversity. Be proud of who you are. Make an influential difference. We live in a diverse world, so building a diverse and inclusive firm, where everyone feels they belong and can achieve their potential, matters profoundly to us. This is why we’ve created programmes like this, to ensure everyone is made aware of the work we do and given an equal opportunity to work with us. We’re committed to building a culture of belonging and as such we are focused on doubling the proportion of female and Black and Minority Ethnic (BME) talent in the UK partnership to 40% female and 20% BME by July 2025 – plus, we commit 15% of our BAME target to be Black Partners. We promise to be a voice and force for change, both within our organisation and beyond. Let’s focus on the future of work, together.