Audit Portfolio Manager: Data Analytics at Nedbank

To analyse data to support Group Internal Audit (GIA) by providing a better understanding of the clients risk profile which enables GIA to conduct/ manage risk-based auditing across Nedbank Group.

Job Responsibilities

• Support the periodic assessments of the outcomes of internal audit work to appropriate governing bodies, including the GAC and Board Risk Committee
• Report significant issues related to the processes for controlling the activities of the Group, including potential improvements to those processes
• Report periodically on the progress of the audit plan delivery with the use of Data analytics
• Maintain and report on whether GIA has sufficient professional audit staff with knowledge, skills, experience and professional qualifications to meet the requirements of the GIA Charter and audit plan
• Have in place a robust process to follow-up management’s agreed actions to address issues raised by GIA
• Accountable for the delivery and measurable performance of their respective portfolio, including audit plan delivery
• Provide insights from the outcomes of internal audit work to appropriate governing bodies
• Maintain an open and constructive relationship as a Trusted Advisor with senior internal and external stakeholders including Institute of Internal Audit, SARB, External Audit and Business Executives
• Develop and Maintain relationships with business and key stakeholders to ensure robustness and completeness of audit coverage and contribute at an insight generator/trusted advisor to business to enhance assurance provided of the control environment
• Submit the 12-month rolling audit plan to the Executive Manager for review and approval prior to the commencement of a calendar year when required
• Deliver and report on the rolling risk-based plan
• Managed the implementation, execution and delivery of data and analytical projects and provide support to other GIA teams
• Conduct research, development and implementation of data analytics and data driven solutions covering the entire spectrum from basic analytics to advanced analytics such as Continuous Auditing programmes, predictive modelling, machine learning and artificial intelligence

Essential Qualifications

• Commercial, Informatics, Statistics, Computer Science or related degree

Preferred Qualification

• B.Sc. / B. Com Honours with focus on Quantitative skills, financial engineering, mathematical modelling, data modelling, IT

Certification

• SAS certification, R, Python, RPA, Machine Learning, Big Data, DBMS, SQL, ACL Certification
• CISA certification is advantageous