This is a rare opportunity to deliver meaningful, high-impact work that will influence policy, service quality, and public outcomes.
Key responsibilities:
- Analyse and review the current audit framework and associated data
- Design a comprehensive, risk-based model for audit selection
- Identify key data inputs needed to implement this model in a new grants management system
- Prepare a report outlining the framework, methodology, and implementation recommendation
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related discipline
- Strong background in data analysis, risk modelling, and statistical techniques
- Experience with data governance, machine learning, or compliance analytics
- Exceptional problem-solving skills and the ability to communicate complex findings clearly
- Prior exposure to risk, compliance, or audit environments is desirable
For more information or a confidential discussion, please contact Nic Gulliver quoting reference 267356.
