City: Douala Posted: 18-May-2026
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The Auditor: Data Modelling and Analytics role will be accountable to achieve the following objectives:
- Execute Technology audit plans to identify risks and vulnerabilities on the control areas and to ensure that processes and systems comply with company policies, and statutory and regulatory policies.
- Serve as an active member of the audit team directly executing internal high risk/priority internal audits on technology, systems, and security controls: through analysing reports and logs, conducting system and process audits, conducting interviews and testing, preparing database updates, providing status reports, and preparing audit reports, in line with internal standards and methodologies.
- Conduct the effectiveness test of the control areas, such as information security, technology updates, upgrade and development lifecycle, disaster recovery reviews, pre and/or post implementation review, technology project management, technology project governance, technology controls risk management, technology acquisition, blueprint and implementation reviews, technology systems and infrastructures process and control reviews.
- Conduct regular and automated tests on technology systems and controls using analytical scripts and datasets, ensuring that any changes to the system, such as updated, upgrades, system changes are monitored are done according to the company’s policies and procedures and statutory and regulatory policies.
- Provide high quality, data driven recommendations supported by analytical evidence, visualizations, and trend insights to management on technology systems and security controls risk identification and mitigation and corporate governance, to ensure that internal audit processes are robust, aligned to best practices and regulatory requirements.
- Provide input in the audit plan and programme, to ensure effectiveness of the risk management through internal audit, on area of specialization.
- Carry out audits on the eGRC system in line with process and methodology as mandated by the Group Internal Audit and Forensics function.
- Follow up on the implementation of audit recommendations in a timely manner.
- Assist with the development of methods, processes, and systems to enhance effectiveness and meet organisational goals.
- Provide proficiency in assessing information security and cybersecurity controls, identifying vulnerabilities, and ensuring compliance with information security standards.
- Leverage data analytics, automation, and AI enabled techniques to enhance risk assessment, improve test coverage, and support continuous assurance initiatives.
Key Job Responsibilities
Staff Leadership and Management
Ability to work in a team.
Responsible for self-learning and development with guidance from the Manager
Ensure cohesive working with the Coe.
Accountable for meeting and prioritising own targets / deadlines
Provide information to the Manager on work accomplishments, individual / team challenges.
Lead team meetings and contribute on specialist / technical areas when required.
Review performance metric dashboards prepared on various performance metrics and, provide input to the manager
Governance
Ad hoc and Operational Meeting
Participate and provide inputs in operational meetings as and when required.
Set up and manage ad hoc meetings for day-to-day operational requirements as and when required.
Escalations
Timely notification of escalations to the Manager
Resolve escalations as per defined escalation / resolution procedures.
Opco Operational
Participate and provide inputs in project status meetings.
Propose operational changes and provide associated user impact assessment.
Performance
Improve productivity and quality through leading practice initiatives
Reporting
Provide inputs to the Manager (as required) relating to progress made within the sub-division and in accordance with the measurement metrics set by the organisation.
Data Modelling & Analytics Responsibilities
Design, build, and maintain data models, scripts, and analytical routines that support risk assessment, control testing, and continuous auditing.
Conduct data extraction, transformation, and validation to ensure quality and completeness of datasets used in audit work.
Develop risk analytics dashboards and automated indicators that highlight anomalies, trends, and potential control breaches.
Apply statistical, predictive, or machine‑learning techniques to identify unusual patterns or fraud red flags.
Embed analytics into audit methodology, ensuring every audit incorporates meaningful data‑driven testing.
Partner with IT, BI, Risk, and Cybersecurity teams to ensure secure access to data sources and proper alignment with data governance standards.
