2026 Internship-Assurance-Technology Risk and Data Analytics - Hong Kong

EY’s Technology Risk and Data Analytics team is redefining the future of the profession through the intelligent application of Artificial Intelligence (AI) and data analytics in an era of rapid business transformation and accelerating advancements in data-driven technologies. Leveraging EY’s globally leading digital assurance methodologies and AI-powered tools, we provide clients across industries with services including AI consulting and implementation, AI governance and risk management, IT risk assurance, digital auditing, and data intelligence solutions. We help organizations drive AI innovation while maintaining effective risk oversight, regulatory compliance, and sustainable value creation.

Beyond helping clients address the risks arising from emerging technologies such as AI, big data, cloud computing, and the Internet of Things, we are committed to advancing the innovative application of AI in enterprise environments through consulting services, technology-enabled solutions, and proprietary development capabilities. Our work empowers organizations to optimize business processes, enhance operational efficiency, and strengthen digital capabilities, enabling them to gain a competitive advantage in their digital transformation journey. We are currently recruiting full-time undergraduate and master students graduating in 2026–2027 who are passionate about artificial intelligence, digital consulting, technology risk, digital auditing, and data intelligence. We welcome innovative, self-motivated, and collaborative individuals with strong learning agility and interdisciplinary capabilities. Joining our team will provide opportunities to contribute to the innovative application of AI and other emerging technologies in technology risk and data intelligence services, supporting leading global organizations in AI innovation, digital transformation, technology compliance, and risk governance.

Key Focus Areas:

• Frontier Deployment Engineer (FDE): Focus on the engineering and deployment of enterprise-grade AI applications, from architecture design through to production implementation.
• Frontier Deployment Researcher (FDR): Focus on AI prototype development, model performance validation, risk assessment, and governance research for emerging AI applications.
• AI Innovation and Solution Design: Develop AI agents, intelligent applications, proprietary tools, and industry-specific solutions while building reusable methodologies and scalable AI assets.
• AI Governance and Trustworthy AI: Support organizations in establishing secure, compliant, and trustworthy AI governance frameworks through Responsible AI, model governance, data governance, and AI risk management practices.
• Technology Risk Assurance: Leverage AI-enabled tools to support automated auditing, data security and compliance reviews, and IT risk control assessments.

Your key responsibilities

• AI Consulting and Digital Transformation: Participate in AI strategy development, business use-case assessment, AI governance framework design, and digital transformation initiatives, helping clients implement AI technologies across business functions.
• AI Innovation and Solution Development: Contribute to the design and development of innovative AI solutions, proprietary tools, intelligent applications, and industry-specific offerings while building reusable methodologies, tools, and digital assets.
• AI Application Development and Deployment: Design and develop enterprise AI agents, RAG knowledge bases, and intelligent analytics platforms, including architecture design, deployment, and performance optimization.
• AI Governance and Risk Management: Support AI risk identification, Responsible AI initiatives, model governance, data governance, and AI compliance assessments to help clients establish secure, trusted, and sustainable AI governance programs.
• Model Evaluation and Governance: Develop AI prototypes, design testing methodologies and evaluation frameworks, identify model hallucinations and associated risks, and recommend improvement plans based on assessment outcomes.
• Systems Integration and Data Governance: Integrate AI applications with client business systems and databases while ensuring secure, compliant, and appropriately controlled data interactions.
• Industry Research and Insights: Monitor emerging AI technologies and industry developments, contribute to AI best-practice research, industry insights, and solution development initiatives, and continuously enhance the team’s professional and innovative capabilities.
• Technology Risk Assurance: Perform IT general controls and application controls audits, leverage automation tools for business and financial data consistency analysis, and assess risks associated with emerging technologies.

What we look for

• Educational Background: Preferred majors include Computer Science, Artificial Intelligence, Software Engineering, Data Science, Information Security, Mathematics, Statistics, or interdisciplinary programs combining Law and Technology.
• Language Proficiency: Strong written and verbal communication skills in both Chinese and English (CET-4/6 or above preferred).
• Programming Skills: Proficiency in Python (preferred) and familiarity with Java/JS. Knowledge of data structures, algorithms, and Git version control is required. Experience with AI application development and engineering practices is a plus.
• AI and Large Language Models: Understanding of LLM principles and common AI applications. Familiarity with Prompt Engineering, RAG, Agent, Embedding, and Tool Calling. Experience with mainstream AI platforms and API such as OpenAI, Azure AI, DeepSeek, Qwen, ERNIE, Hunyuan, and Doubao is advantageous. Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, and Dify is highly desirable.
• Data and Backend Technologies: Proficiency in SQL and at least one relational database. Familiarity with backend frameworks (Spring Boot/FastAPI), as well as API integration concepts.
• Engineering Capabilities: Knowledge of Docker, Linux, CI/CD pipelines, and basic operations and monitoring concepts.
• Additional Qualifications: Hands-on experience in AI or software development is preferred. Experience with ERP systems, SQL/Python-based analytics projects, or professional certifications such as CISA/CICPA will be considered advantageous
• Consulting and Communication Skills: Strong analytical thinking, structured problem-solving abilities, client communication skills, and teamwork capabilities. Demonstrated interest in digital transformation, AI consulting, and technology risk management.
• Innovation and Independent Development: A proactive and innovative mindset with strong self-learning capabilities. Experience in AI PoC, self-developed projects, open-source contributions, or academic research is highly valued.
• AI Governance Awareness: Understanding of Responsible AI, AI governance, data governance, and model risk management concepts. Strong awareness of risk management and compliance considerations, with the ability to balance AI innovation and risk control.

Why Join Us?

• Exposure to Cutting-Edge Technologies: Gain hands-on experience in AI consulting, digital transformation, AI governance, and AI-enabled audit tool development through industry-leading projects. Work with leading AI models and ecosystems such as DeepSeek, OpenAI, AI Agents, and intelligent application platforms.
• Data-Driven Insights: Lead data analytics and business-finance data assessments in an environment shaped by rapid technological change. Develop advanced skills in data cleansing, modelling, visualization, and AI-powered analytics to deliver actionable business insights and decision support.
• Professional Development: Benefit from tailored training programs that combine technology risk management with emerging AI technologies. Build a unique blend of consulting, technical, and risk management capabilities while expanding your career opportunities.
• Innovative Culture: Collaborate across teams in a culture that encourages innovation and continuous learning. Participate in AI innovation projects, proprietary tool development, and industry solution creation while leveraging EY’s global network, professional resources, and innovation platforms to accelerate your career growth.