Specialist-Audit and Forensics Data Analytics at MTN Rwanda:Deadline:4/6/2024

An Audit and Forensics Data Analytics Specialist has a dual focus on leveraging data analytics to enhance the audit processes and conducting forensic investigations to detect and prevent fraud. This dual focus not only ensures robust internal controls and compliance but also protects the organization from financial and reputational damage caused by fraud and misconduct or any other unethical behaviour.

Job Responsibilities 

Data Analytics for auditing:

• Integrate data analytics into the audit planning and execution process.
• Analyse large volumes of financial and operational data to identify patterns, trends, and anomalies.
• Develop data-driven audit procedures to assess internal controls and identify risk areas.
• Use data visualization tools to present complex data in a clear and actionable manner.

  Forensic Data Analysis:

• Conduct forensic data analysis to detect, investigate and prevent fraud and misconduct.
• Use advanced analytical techniques to uncover anomalies and suspicious patterns in financial data.

  Audit Planning and Execution:

• Collaborate with audit teams to integrate data analytics into the audit planning process.
• Design and execute data-driven audit procedures to assess the effectiveness of internal controls and identify areas of risk.

Tool and Model Development:

• Develop, implement, and maintain data analytics tools and models to support audit and forensic activities.
• Continuously improve data analytics techniques and methodologies to enhance audit and forensic analysis capabilities.
  
  
  

Reporting and communication:

• Prepare detailed audit and forensic investigation reports that include data-driven insights and recommendations for improving business processes and controls.
• Communicate findings and insights to stakeholders, including auditors, management, and regulatory bodies.

Training and Knowledge sharing:

• Train audit and forensic team members on data analytics tools, techniques and best practices.
• Promote a data-driven approach within the audit and forensics functions.
• Data acquisition and Management:

• Extract, clean and transform data from various sources ensuring data quality and integrity.
• Manage data storage and ensure compliance with data governance and security policies.
  
  
  

Risk Assessment and Audit Planning:

• Use data analytics to identify high-risk areas for audit focus and transactions that require further investigation.
• Assist in developing risk assessment models and continuously update them based on new data and emerging risks.                                                                  Process Improvement:

• Identify opportunities for process improvement and automation within the audit and forensic function.
• Recommend and implement changes to enhance the efficiency and effectiveness of audit and forensic procedures.                                                                 Compliance and Regulation:

• Ensure audit and forensic procedures comply with relevant regulations, industry standards and best practices.
• Stay up to date with changes in regulations and adjust audit and forensic procedures accordingly.                                                                                        Collaboration and Coordination:

• Work closely with IT, Network, Finance, Legal and other departments to ensure seamless data integration and support for audit and forensic activities.
• Coordinate with external auditors, forensic experts and regulatory bodies as needed.                                                                                     Innovation and Continuous Learning:

• Keep abreast of the latest trends and technologies in data analytics, audit, and forensic practices.
• Experiment with new tools and techniques to continually enhance the audit and forensic data analytics capabilities.