Assistant Vice President - Internal Audit Data Analytics (gn)

For our client, a leading global bank with its European headquarters in Frankfurt, we are currently looking for a Assistant Vice President - Internal Audit Data Analytics (gn) to join the Audit function.

Purpose of job

The role is responsible for driving the implementation of the Data Analytics strategy in line with the Internal Audit plan and the Bank's risk priorities. It combines analytical expertise with governance, reporting and stakeholder engagement to enhance audit effectiveness and enable data-driven risk assessment across the Internal Audit function.

Tasks

• Managing stakeholder expectations and fostering effective collaboration with Internal Audit teams throughout data analytics engagements.
• Supporting the adoption and integration of data analytics within the Internal Audit function.
• Delivering high-quality analytical outputs within tight timelines while applying audit methodologies and business knowledge.
• Building effective relationships with Internal Audit stakeholders and management across the organisation.
• Collaborating with regional colleagues, including teams across EMEA, the Americas and APAC, where required.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics or a related field.
• Experience in data analytics, ideally within Internal Audit or second-/third-line functions in financial services.
• Proven ability to apply data analytics to support audit activities and deliver risk-focused insights.
• Proficiency in data analytics, visualisation and database technologies, including Python, SQL and leading BI and ETL tools.
• Strong communication and stakeholder management skills, with the ability to present complex analytical findings effectively.
• Ability to work independently and collaboratively while building strong relationships across teams and organisational levels.
• Understanding of banking products, business processes and risk drivers, particularly within Corporate Banking, Capital Markets or Credit.
• Hands-on experience with statistical and analytical techniques to generate actionable business insights