Audit Data Analytics Manager in London

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Job Description

We are working with an award-winning Financial Services business to help them find a talented and ambitious Audit Data Analytics Manager.

The role sits within the Group Internal Audit team and they are looking for someone who thrives in a dynamic atmosphere and wants to make a real difference to help shape the deliverables of the whole team.

Your data analytics and audit expertise will be used to develop solutions to enable more effective and efficient audits, embed data analytics skills and techniques across the Internal Audit team; and identify emerging technologies and approaches to transform the audit services, while ensuring the processes and controls meet professional and regulatory standards.

Responsibilities

• Deliver the GIA strategic objectives specifically on the use of data analytics, continuous auditing, continuous control monitoring and AI enabled functionality, driving continuous innovation and improvement.
• Own, develop and implement programme deliverables, maintaining a backlog of GIA initiatives which are reviewed, updated and prioritised on a quarterly basis in agreement with the Chief Internal Auditor.
• Deliver hands on data analytics expertise and solutions to GIA to enable more efficient and effective audits and reporting, through the use and championing of visualisation tools and scripting.
• Build data analytics capabilities across GIA through structured training and continuous skills development.
• Embed data analytics techniques into the audit methodology to ensure consistent application and quality outcomes, specifically full population testing.
• Build and maintain effective relationships with key stakeholders in IT, technology enablement and data teams to facilitate sharing of knowledge, skills, tools, environments and data (via

Experience Required:

• Strong understanding of audit methodologies, risk management and internal control frameworks.
• Relevant recent experience with audit data analytics, delivering insights, and solutions in a business environment.
• Expertise in Power BI or similar visualisation tools.
• Proficiency in programming/automation experience such as Python, SQL, and/or AI large models.

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