Manager - Data Analytics and Continuous Control Monitoring.Risk and Compliance at MTN

JOB DESCRIPTION

• Audit Plans and Strategies: Develop comprehensive continuous audit plans that outline the scope, objectives, methodologies, and resources required for conducting audits with a focus on data analytics and continuous control monitoring.
• Data Analysis and Continuous Control Monitoring Framework: Create a framework for conducting data analysis and continuous control monitoring during audits, including defining data sources, extraction methods, analysis techniques, and visualization approaches.
• Risk Assessment: Identify and assess risks related to data integrity, compliance, and operational efficiency. Prioritize audit activities based on risk assessment results.
• Audit Procedures and Workpapers: Define audit procedures that incorporate data analytics and continuous monitoring techniques. Maintain well-organized workpapers that document the audit process, methodologies, data samples, analysis results, and conclusions.
• Data Extraction and Analysis: Lead the team in extracting, transforming, and analyzing data from various sources using data analytics tools. Identify patterns, anomalies, and trends that could indicate potential risks or areas for improvement.
• Control Testing and Validation: Develop and implement control tests using data analytics to validate the effectiveness of internal controls. Identify control weaknesses and recommend improvements.
• Automated Monitoring Systems: Implement automated monitoring systems that use data-driven techniques to identify deviations from established norms and compliance violations on an agreed frequency using Power BI and Power Automate.
• Audit Reports: Prepare detailed audit reports that highlight findings, insights, and recommendations resulting from data analysis and continuous control monitoring. Reports should clearly communicate the significance of the findings to stakeholders.
• Remediation Recommendations: Provide actionable recommendations for addressing identified risks, control weaknesses, and process inefficiencies. Collaborate with relevant teams to develop and implement solutions.

RESPONSIBILITIES

• Stakeholder Communication: Effectively communicate audit findings, insights, and recommendations to senior management, audit committees, and other relevant stakeholders. Translate complex data-driven concepts into understandable insights.
• Training and Development: Foster a culture of data-driven audit by providing training and development opportunities for audit team members in data analytics techniques and tools.
• Continuous Improvement Initiatives: Lead efforts to continuously improve audit methodologies, data analysis techniques, and monitoring processes based on industry best practices and emerging technologies.
• Compliance Verification: Ensure that the organization adheres to relevant regulations, standards, and internal policies by verifying compliance through data analysis and monitoring activities.
• Performance Measurement: Define and track KPIs related to the effectiveness of data analytics and continuous control monitoring activities. Measure the impact of these activities on risk mitigation and process improvement.
• Collaboration with IT and Analytics Teams: Collaborate with IT and data analytics teams to ensure proper data access, quality, and security for audit-related activities.
• Monthly reporting commitments: Complete, automate and ensure efficiencies when completing the ARC, EXCO packs for internal audit and forensic services.

QUALIFICATIONS

Education:

• A bachelor's degree in a relevant field such as Accounting, Finance, Business Administration, Information Systems.
• 3-year Degree is required
• CA and master’s will be advantageous

Experience:

• At least 5 years’experience in a telecomsor IT environment. At least threeyears’ experience in leadingor managing internal audit/ forensic teams.
• Minimum of 5 years’ experienceinan area of specialization such as data analytics and continuous control monitoring with experienceinsupervising / managing others.
• Experienceworking in a medium to large organization.

Competencies:

• Data Analytics Expertise: Proficiency in applying statistical analysis, data visualization, and data mining techniques to uncover patterns, trends, and anomalies in large datasets.
• Audit Methodology: Strong understanding of internal audit methodologies, including risk assessment, control testing, and audit planning.
• Technical Skills: Familiarity with data analytics and business intelligence tools (such as Tableau, Power BI, ACL, IDEA) and programming languages (SQL, Python, R).
• Problem-Solving: Ability to identify and address complex issues, develop innovative solutions, and make data-driven decisions.
• Leadership: Strong leadership and team management skills, including the ability to motivate, mentor, and guide audit teams.
• Communication: Excellent written and verbal communication skills to effectively convey technical concepts and audit findings to both technical and non-technical stakeholders.
• Project Management: Skill in managing multiple projects simultaneously, setting priorities, and meeting deadlines.
• Regulatory Knowledge: Understanding of relevant regulatory requirements and industry standards related to data privacy, security, and financial reporting.
• Critical Thinking: Capacity to analyze situations, evaluate information, and make sound judgments based on data and facts.
• Business Acumen: Ability to understand the organization's business operations, goals, and industry challenges to tailor audit approaches effectively.
• Change Management: Aptitude for driving and managing change within the organization, particularly related to implementing new data analytics and monitoring initiatives.
• Ethical Conduct: Commitment to maintaining high ethical standards and ensuring the confidentiality and integrity of sensitive data.