IT Auditor, CISA – Data Science

Darum lohnt es sich

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 Supporting the Head of Internal Audit in preparing the annual plan and the annual assessment of the risk landscape Maintaining relationships with internal stakeholders Ad hoc Projects.

Requirements Bachelor’s or Master’s degree in (Business) Computer Science, Engineering or Finance CISA certification Knowledge of the asset management and investment fund sector Professional experience in the fields of auditing, risk management and internal controls Knowledge and understanding of current concepts and practices in internal audit and risk management Broad IT skills, database knowledge and specialist expertise in the areas of cyber security and cloud computing Professional experience in the fields of data science, machine learning and AI, as well as knowledge of data extraction and processing Proficiency in Python and SQL Interest in innovative audit topics Strong conceptual and analytical skills Initiative and a strong team-oriented approach Ability to maintain a clear overview of risk management issues that influence the organisation’s current thinking Professional conduct and credibility that inspire and strengthen trust Interest in innovation German and English.

Hard Skills Data Analysis ETL Process Statistical Audit Procedures Risk Management Internal Controls Cyber Security Knowledge Cloud Computing Expertise Data Extraction Data Processing Audit Methodologies Soft Skills Strong Conceptual Skills Analytical Skills Initiative Team-Oriented Approach Professional Conduct Certifications