To collect, clean, analyse, and visualise data to identify potential risks, assess compliance with regulations, and provide valuable insights to auditors.
Development and execution of data extraction strategies to gather relevant data from various sources, including internal systems, external databases, and third-party vendors.
Analysis of data to identify potential risks and control weaknesses.
Provision of data-driven insights and analysis to auditors throughout the audit process.
Supporting the development and testing of audit procedures based on data analysis results.
Implementation of data management processes to ensure data accessibility, security, and integrity.
Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
Manage and mitigate risks through assessment, in support of the control and governance agenda.
Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.

Requirements

Extensive experience leading model risk management, AI assurance, or advanced analytics governance in a regulated sector such as financial services, banking, credit, or insurance
Expertise in machine learning, statistical modeling, model validation, and AI/ML monitoring, with familiarity in emerging AI regulatory expectations
Demonstrated leadership in managing cross-functional programs, influencing senior stakeholders, and implementing enterprise-scale governance or AI assurance frameworks
Experience building Responsible AI programs or integrating fairness, explainability, and transparency into machine learning development lifecycles
Thorough understanding of modern cloud data platforms, MLOps/LLMOps practices, and emerging AI and GenAI architectures
Previous oversight of hybrid teams across analytics, risk, data science, and technology, with the ability to evolve and scale organizational capabilities.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata visualizationdata extractionmachine learningstatistical modelingmodel validationAI monitoringdata managementMLOpsAI assurance

Soft Skills

leadershipaccountabilitystakeholder managementcross-functional collaborationinfluence