Interswitch Limited is an integrated payment and transaction processing company that provides technology integration, advisory services, transaction processing and payment infrastructure to government, banks and corporate organizations. Interswitch, through its “Super Switchâ€Â provides online, real-time transaction switching that enable businesses and individuals have access to their funds across the 24 banks in Nigeria and across a variety of payment channels such as Automated Teller Machines (ATMS), Point of Sale (PoS) terminals, Mobile Phones, Kiosks, Web and Bank Branches.
About the job
- The Data Analytics and Intelligence Officer reports into the Head, Audit Analytics and Intelligence. The role will support operational level audit intelligence gathering, insight through data analytics, focusing on control automation, continuous auditing, data-driven auditing, leveraging intelligent systems, analytics tools, and AI initiatives. The ideal candidate is analytically sharp, tech-savvy, and experienced in big data environments, with a passion for using data to drive assurance and proactive detection of emerging threats including fraud and other elevated risk.
Key Roles & Responsibilities
- Apply advanced data analytics techniques to support audit planning, execution, and reporting. This includes analyzing large datasets to uncover trends, anomalies, and control gaps that may indicate risks or inefficiencies.
- Provide analytical support for audit, forensic reviews, fraud investigations,
- Extract and analyse data to reconstruct events or trace transaction patterns
- Implement automated routines for continuous auditing of critical business processes and control objectives. This includes creating scripts and tools that automate testing of recurring controls, streamline repetitive audit tasks, improve efficiency, and ensure continuous auditing of controls at a determined regularity.
- Generate actionable insights from complex data sets and present findings in clear, visual formats using tools such as Power BI, Tableau, or Excel. These insights will support audit reports and inform management decision-making.
- Improve Internal audit team’s visibility and access to data sets across the organisation
- Develop and maintain audit data models and dashboards that provide real-time insights into business operations. These tools will help auditors and process owners monitor key metrics and identify areas requiring further investigation.
- Collaborate with IT and process owners to integrate data pipelines into the audit automation framework.
- Establish a control library and continuously update data-driven testing procedures to reflect evolving business processes
- Use advanced data mining techniques to identify hidden patterns and emerging risk indicators across large volumes of data
- Operationalize dashboards and visual analytics tools to provide proactive insights to auditors and business stakeholders.
- Support the transition from manual to automated controls testing, increasing audit coverage and efficiency.
- Maintain audit trail documentation for all analytics models, scripts, and procedures and Present findings from data analyses and investigations to audit leadership and key stakeholders in a clear, concise manner.
- Support operationalisation of Artificial Intelligence uptake and implementation within the internal audit framework
- Stay abreast of emerging technologies and best practices in audit analytics, automation, and fraud detection. Continuously evaluate and adopt new tools and techniques that enhance the effectiveness of audit engagements.
- Maintain all Interswitch and professional ethical standards and ensure internal audit activities are carried out in compliance with The International Standards for the Professional Practice of Internal Auditing (Standards) and IIA Code of Ethics.
Competencies
- Proficiency in interconnecting intelligent systems
- Big data analytics and insights generation / proficiency with data analytics tools
- Proficiency in transforming complex data sets and delivering actionable insights. • Use of query languages and script writing
- AI prompt engineering
- Strong forensic mindset and investigative curiosity.
- Fraud schemes and scenario
- IT systems investigations skills
- Investigating in a complex financial transaction and technology environment
- Ability to think critically and connect data trends with control or process failures.
- Analytical skills / Problem solving in an interconnected systems environment
- Effective communicator with the ability to translate technical findings into business language.
- Strong attention to detail, integrity, and sound judgment.
- Knowledge of internal audit methodologies and risk management frameworks.
- IT and process risks and control audit skills
- Governance, Risks and Compliance Frameworks
- Interpersonal skills
- Business communication (oral, written & presentation)
- Ability to take initiative and being proactive
Experience and Qualifications required
- Bachelor’s degree in Information Technology, Data Analytics, Computer Science, Accounting, Finance, or related field.
- Hands-on experience with big data tools, data visualisation, and analytics platforms (e.g., SQL, Power BI, Tableau, Python, R, ACL, IDEA).
- Professional certification in data analytics or related information technology fields added advantage
- Professional certification: in internal audit and related fields preferred - CIA, CISA, CFE, or equivalent.
- 3–5 years of relevant experience in internal audit, analytics, or investigative roles.
- Experience in designing control automation, internal audit transformation, continuous auditing routines, or intelligent monitoring dashboards.
- Strong understanding of internal controls, governance frameworks, and risk management practices
Method of Application
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