DBS Bank

ED/SVP, Technology Audit - Data, AI and Applications, Group Audit

DBS Bank
BusinessSingapore - CentralFull-time3 weeks ago

About the role

AI summarised

This is a senior technology audit role at a global bank, focusing on auditing data, AI, and application domains. The position involves leading audit engagements, assessing risks and controls, and providing insights to senior management and regulators.

BusinessFull-timeGeneral

Key Responsibilities

  • Lead and execute technology audit engagements covering Data, AI, and Applications domains.
  • Develop and maintain a risk-based audit plan for the assigned portfolio.
  • Assess the design and operating effectiveness of controls related to data management, AI/ML models, and application systems.
  • Identify emerging risks and provide recommendations to enhance the control environment.
  • Collaborate with business and technology stakeholders to understand key initiatives and changes.
  • Prepare clear and concise audit reports and present findings to senior management.
  • Stay abreast of industry trends, regulatory changes, and technological advancements in data and AI.
  • Mentor and develop junior team members within Group Audit.

Requirements

  • Minimum 12-15 years of experience in technology audit, risk management, or related fields within financial services.
  • Strong knowledge of data management, AI/ML, and application development lifecycle.
  • Experience with audit methodologies, risk assessment, and control testing.
  • Professional certifications such as CISA, CISSP, or CIA are preferred.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication skills, with ability to present to senior stakeholders.
  • Proven ability to lead and manage multiple audit engagements simultaneously.
  • Familiarity with regulatory requirements and industry standards (e.g., MAS, SOX, GDPR).
  • Bachelor's degree in Computer Science, Information Technology, Data Science, AI, or related field.
  • Experience in using data analytics tools and techniques for audit purposes.