Responsible for providing data analytics and IT services to Group Internal Audit
Prepare in-depth or rapid data analyses to support the planning and execution of risk-based audits
Develop management reports for advanced analytical purposes
Ensure transparency and quality in quantitative statements concerning master data
Develop and integrate innovative, data-driven audit approaches
Collaborate on AI projects to advance business intelligence within Group Audit
Work closely with auditors and with stakeholders in Compliance and Risk Management
Support training initiatives to raise data analytics awareness
Participate in pilot and ad hoc projects

Bachelor’s or Master’s degree in Data Science, Econometrics, Statistics or a related field
Professional experience in banking, with knowledge of banking processes and characteristics
Experience in data analysis for internal audit or risk management
Interest in working with ETL processes and data pipelines to extract data from multiple sources and standardize it
Experience with databases, data analysis tools, dashboards and reporting
Proficiency in programming languages such as Python and SQL
Experience with data visualization tools (e.g., Tableau, Power BI) is an advantage
Interest in extracting and preparing meaningful data from diverse databases for internal audit projects
Ability to derive precise insights from structured and unstructured data
Analytical mindset with strong attention to detail
Team-oriented and collaborative
Open-minded, with a high degree of trustworthiness and integrity when handling confidential data
Fluent in German and English

Associate Data Scientist – Audit

Key skills