Responsibilities

• Independent planning and execution of data-driven audits across the entire group using data analysis, ML and AI-powered audit tools to detect deviations from standards at an early stage and identify risks
• Translating an audit assignment into a data-analytical audit investigation, including IT-based tests, to uncover irregularities, statistical outliers, and systemic anomalies across the Group, thereby replacing random sampling controls with system-based audits
• Preparing unstructured raw data from large, complex datasets and processing it into robust and meaningful audit results through a structured ETL process (Extract, Transform, Load) and statistical audit procedures
• Discussing findings with stakeholders and reporting them to the HIA
• Collaborating on the further development of modern and innovative audit methodologies, including ML, LLM, and AI, to increase audit efficiency and the quality of audit results...