Model, Data & AI Risk Audit Lead

Macquarie Bank Limited

Greater London

Hybrid

GBP 90,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Hybrid working

Job summary

Macquarie Bank Limited in London is seeking an Internal Audit Manager focused on Model, Data and AI Risk to lead audits across governance, management and use of models, AI and data. You will assess model risk outcomes, data quality and privacy controls while collaborating with stakeholders to drive audit impact.

The role embraces hybrid work with three days per week in the advertised location, offering development opportunities and exposure to enterprise-scale AI risk governance.

Qualifications

  • Strong experience reviewing, developing or validating traditional and AI-driven models.
  • Deep understanding of AI platforms, architectures and governance frameworks.
  • Experience assessing data governance, data lineage, data quality and privacy controls.
  • Excellent communication and stakeholder management skills.
  • Collaborative leadership, including coaching and reviewing the work of others.

Responsibilities

  • Audit governance and use of models, AI solutions and data across a diverse range of business activities.
  • Provide independent assurance over model risk, AI governance, data quality and technology controls.
  • Build trusted relationships with stakeholders and contribute to integrated audits.
  • Coach and guide team members to enhance audit quality and impact.

Skills

Model risk assessment
AI governance
Data governance & privacy
Stakeholder management
Leadership & coaching

Job description

Macquarie Bank Limited in London is seeking an Internal Audit Manager focused on Model, Data and AI Risk to lead audits across governance, management and use of models, AI and data. You will assess model risk outcomes, data quality and privacy controls while collaborating with stakeholders to drive audit impact.

The role embraces hybrid work with three days per week in the advertised location, offering development opportunities and exposure to enterprise-scale AI risk governance.

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