Data Assurance & AI Risk — Graduate Program

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

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.