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Internal Audit AVP - Data (SMBC Data AVP)

Overview

Reference
SMBC Data AVP

Salary
£80,000 - £85,000/annum

Job Location
United Kingdom -England -Greater London -London

Job Type
Permanent

Posted
13 May 2026


Our client is a well known Corporate and Investment Bank and are looking for someone to join their high-performing Data Analytics team that sits at the heart of the Internal Audit function. This is a chance to shape how data is used to deliver insight, assurance, and innovation across one of the world’s leading financial institutions.

 

As part of a four-person specialist team, you’ll play a key role in bringing data to life for audit and credit review teams across EMEA and using analytics to highlight emerging risks, test controls more efficiently, and drive smarter decision-making.

 

The role

  • You’ll work across every part of the bank, from Corporate Banking and Capital Markets to Credit Risk, giving you exceptional visibility and influence.
  • The team is small, collaborative, and forward-thinking, giving you autonomy to innovate while having the backing of a major global institution.
  • You’ll help shape the future of data-driven audit, including exploring how AI and automation can transform assurance.
  • You’ll present your insights directly to senior stakeholders, giving your work tangible business impact.

 

What you'll do

  • Partner with audit teams to design and deliver data-driven testing and insights.
  • Build dashboards and reports (Power BI, Tableau) to visualise trends and support continuous monitoring.
  • Develop and maintain analytics tools (Python, R, ACL, SAS) and manage data pipelines across multiple systems (Oracle, SQL Server, Alteryx, Informatica, Talend).
  • Manage the analytics request pipeline, ensuring priorities align with business needs.
  • Promote analytics adoption across the wider Audit Department, helping upskill auditors and embed data-led thinking.

 

What we’re looking for

  • Hands-on experience using data analytics and visualisation tools in an assurance, audit, or financial services environment.
  • Strong knowledge of data extraction, transformation, and analysis, ideally with exposure to banking products and processes.
  • Experience working in a data analytics or audit analytics function
  • Awareness of how AI and machine learning can be applied within audit would be a plus.


Contact information

Simon Taylor

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