Data Analytics - AVP - Global Banking Group - £70,000 - £90,000 Bonus Benefits - City / London with hybrid working - #2136536

With a reputation for being a stable and well-run global banking organisation, this global banking group has done an excellent job of steadily growing their business, retaining talent and developing the careers of its staff, while fostering a positive team-first working culture. Their Internal Audit function has a remit to further develop the department's Data and Analytics capability and is looking for a Data & Analytics professional to support audit and credit related assignments across EMEA by leveraging data analytics and maintaining Computer Aided Auditing Tools (CAATs) for continuous auditing and monitoring.

This role sits within the Audit department and will be working with the Audit teams on a variety of assignments to investigate how the data within Bank systems may be analysed to assist the auditors in assessing the controls implemented.

Profile Requirements:

1. 1. Proficiency in data analytics tools (Python, R, ACL, SAS) and visualization platforms (Tableau, Power BI).
   2. Experience with databases (Oracle, SQL Server) and ETL tools (Alteryx, Talend, Informatica).
   3. Strong communication and interpersonal skills, including presenting insights to senior stakeholders.
   4. Ability to work independently and collaboratively across teams.
   5. Commercial awareness and understanding of business processes in Corporate Banking, Capital Markets, and Credit.
   6. Knowledge and understanding of using AI within Internal Audit would be advantageous.
   7. Experience of being within the data analytics team of an Internal Audit function

Responsibilities / Tasks:

• • Collaborating with Audit teams to deliver data-driven insights.
  • Developing dashboards, reports, and presentations for senior management.
  • Maintaining documentation and understanding of data structures across firm systems.
  • Supporting the delivery of approximately 80 internal audit reports annually.
  • Managing and prioritising data analytics requests and development pipelines.
  • Collaborating with team members and promoting adoption of analytics tools within the Audit department.