Analyst, Specialist, Technology Audit (Application, AI & Data), Group Audit

Business Function

Group Audit provides independent assurance to the Board and Senior Management on the effectiveness of governance, risk management, and control processes.

The Applications, AI & Data Audit team focuses on assessing risks and controls across business applications, software engineering practices, data platforms, analytics solutions, AI-enabled systems, and emerging AI technologies.

This role is designed for auditors who can leverage data analytics, automation, agentic and generative AI, and innovative audit techniques to deliver deeper insights, greater audit coverage, and more effective assurance.

Responsibilities

Data

• Assess governance, quality, lineage, integrity, and usage of enterprise data.
• Perform data-driven audit testing across large populations using analytics and automation.
• Conduct data wrangling, reconciliation, anomaly detection, and exception analysis.
• Build reusable audit analytics scripts and automated audit testing routines.
• Support continuous auditing and monitoring initiatives through analytics.

AI-Enabled Auditing

• Use AI copilots, AI agents, and automation tools to improve audit efficiency and effectiveness.
• Develop innovative audit approaches using AI-assisted testing and analytics.
• Critically evaluate AI-generated outputs and validate conclusions through professional scepticism.
• Contribute to the transformation of audit methodologies through AI and automation.

AI & Emerging Technology

• Assess governance and controls for AI, machine learning, and generative AI solutions.
• Evaluate risks relating to model governance, data privacy, explainability, monitoring, and responsible AI practices.
• Review AI development and deployment processes.
• Assess controls around AI agents, LLM-based solutions, and emerging AI technologies.
• Identify risks relating to hallucinations, prompt injection, model misuse, and unauthorized data exposure.

Application Audits

• Participate in audits of business applications, digital platforms, and technology-enabled solutions.
• Evaluate application controls and review risks associated with APIs, microservices, cloud-native applications, and modern architecture patterns.
• Identify control gaps, determine root causes, and develop practical recommendations.

Experience

Experience in three or more areas in the list below:

• Data analytics, data management, data governance, or data quality assessment.
• Artificial Intelligence (AI), Generative AI, AI agents, or AI-enabled solutions.
• Python programming, automation, scripting, or analytics tooling.
• APIs and modern application architectures.
• Application development, software engineering, Agile delivery, or DevOps practices.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, Data Analytics, Engineering, or a related discipline.
• 0–3 years of relevant experience in software engineering, data analytics, AI, technology risk, cybersecurity, cloud technologies, or related fields.
• Strong analytical and problem-solving skills with the ability to identify patterns, risks, and control considerations.
• Working knowledge of data analytics, automation, and modern technology platforms.
• Familiarity with Python, SQL, or similar technologies used for data analysis and automation.
• Strong interest in emerging technologies, particularly Artificial Intelligence, data-driven solutions, and digital innovation.
• Effective communication and interpersonal skills with the ability to communicate technical concepts clearly.
• Curious, self-motivated, and continuously seeking opportunities to improve processes through technology, data, and AI.

Location, Job, Schedule, and Employment Status

• Location: DBS Asia Central
• Job: Audit
• Schedule: Regular
• Employee Status: Full time