Audit Manager – Continuous Audit & Analytics
Family Bank Ltd
Publiée il y a 2 mois · Expire dans 3 semaines
Description du poste
About the Role
A dynamic team is expanding and looking for the right talent. This role drives the design, implementation, and management of continuous auditing and data analytics programs within the Internal Audit function. You will enhance audit effectiveness by leveraging technology, data analytics, and automation to deliver timely, risk-based insights and improve assurance coverage in a fast-scaling, digitally transforming bank.
Key Responsibilities
Continuous Audit and Data Analytics
- Develop and implement a continuous auditing framework integrated with the Bank's risk management and control systems
- Utilize data analytics tools to identify anomalies, trends, and emerging risks across business lines
- Automate recurring audit tests for high-risk and high-volume processes (e.g., loan origination, transaction monitoring, digital banking)
- Build and maintain dashboards to track key risk indicators (KRIs) and audit exceptions
- Integrate analytics into all stages of the audit cycle — planning, fieldwork, and reporting
Audit Execution and Reporting
- Support audit teams with data-driven insights to enhance audit quality and efficiency
- Perform thematic risk assurance reviews using data analytics to identify control gaps
- Present findings and visualization dashboards to management, ensuring actionable recommendations
- Contribute to the preparation of Board and Audit Committee reports on analytics-driven assurance outcomes
Collaboration and Capacity Building
- Work with IT, Risk, and Business units to ensure access to quality data sources for analytics
- Train audit teams in the use of analytics and visualization tools (ACL, Power BI, SQL, Python, etc.)
- Promote a data-driven audit culture within the function
Innovation and Process Improvement
- Continuously explore and implement emerging audit technologies (AI, RPA, ML) for risk monitoring
- Recommend improvements to business processes through predictive and prescriptive analytics
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