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  • Posted: Aug 20, 2025
    Deadline: Not specified
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  • 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€&Ac...
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    Data Analyst

    About the job

    • To provide insights to the Product Management and Innovation team through the identification, collation and analysis of data from various sources to enable data-backed decision making. To work on big data and analytics projects that gather and integrate large volumes of data, perform analysis, interpret results and patterns, and develop actionable insights and recommendations for informed decision making and enhance Interswitch’s products and platforms. To act as a strategic thought partner for cross-functional teams to both generate and evaluate the viability and impact of new tests and initiatives.

    Data Collection, Analysis, Insights and Reporting

    • Collate data using pre-set tools, methods and formats and perform deep dive analysis to understand drivers of products and platforms' performance and customers’ behaviours, identify investment opportunities for growth, expand and sustain Interswitch’s user base and shape ongoing and future enhancements.
    • Consult regularly with cross-functional stakeholders to discuss data and analytic needs and advise functions on optimal use of available data, analysis, reports and models to support those needs.
    • Contribute to the preparation of various data and analytics reports.
    • Build and maintain Interswitch’s data warehouse to support reporting, analysis, dimensional modelling and data development for internal and external stakeholders.

    Promoting Customer Focus (Business Support and Advice)

    • Help others get the most out of data management systems by providing support and advice.
    • Interface with business functions, sharing actionable insights based upon multiple data sources to inform and assist decision makers on the most expedient ways to improve and optimise products and platforms' performance in cost, quality, delivery and user experience.
    • Support interpretation of advanced and predictive analytics data, using specialised software tools and functionalities.
    • Support data-driven analysis to identify opportunities for product / service improvement.
    • Serve as an advocate for data-driven product design, evangelise insights on what is working and what is not to help drive incremental gains in pipeline and revenue.
    • Act as mentor and coach to team members while fostering an environment of mutual respect and trust among senior- level team members.
    • Work collaboratively with colleagues to build strong customer relationships and meet customer needs.

    Improve Data and Analytics Platforms, Systems and Processes

    • Empower key stakeholders to access reliable, clean, business data by emphasising quality and best practices, identify and implement improvements to Interswitch’s data pipeline such as better documentation, anomaly detection, alerting and instrumentation.
    • Research and interpret data, trends, and benchmarks relevant to digital products / services design.
    • Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy.
    • Support the advancement of Interswitch’s analytics engineering framework, including scoping of new data models, rigorous documentation of data models and schemas, and standardisation of processes and workflows throughout the broader data organisation.
    • Analyse Interswitch’s funnels, identify areas of improvement, and brainstorm ways to leverage user experience, conversion and profitability.

    EDUCATION

    General Education

    • University First Degree in Computer Science, Engineering, Statistics, Mathematics or Finance-related field.

    EXPERIENCE

    General Experience

    • At least 5 years' relevant experience in Data Analysis roles ideally within reputable financial institutions or the payments industry

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    Lead, Strategy and Advisory Services

    About the job

    • To provide specialised and defined strategic planning, development and execution support to specific business lines within the Interswitch Group to facilitate the successful development, implementation and tracking of corporate strategy initiatives within the focus business lines to drive the growth and profitability of the business, ensuring alignment with the overall corporate objectives, capabilities and efficient resource allocation.
    • To execute, supervise and track the Strategic Planning, Research and Analysis and Business Performance Management Processes within the allocated businesses by providing insight (internally and externally in line with industry and market trends) to business leaders thus enabling validation of strategic direction, execution, and realization of strategies / plans.
    • To manage and structure strategy and research work within a team, as required. To mentor, develop and coordinate the activities of the research desk, the officers and interns within the team. To provide consulting and strategic support to specific line businesses towards the successful implementation of Interswitch’s corporate strategy.

    RESPONSIBILITIES

    • Lead strategy development workstreams for assigned/focus businesses to guide them in setting strategic directions.
    • Lead workshops/sessions for assigned/focus businesses to define strategic priority areas and initiatives, as well as defining implementation plans.
    • Engage with business teams regularly as part of strategy development, research and market intelligence, and to track execution and business performance.
    • Lead, structure and conduct opportunity deep dives, research and analysis into business and industry trends and data, to generate actionable insights that inform business decision making.
    • Structure work within the team, as well as coordinate team activities for effective delivery according to agreed parameters.
    • Mentor junior members of the team fostering their strategic thinking and analytical skills as part of their career growth.
    • Timely delivery of accurate monthly and quarterly performance and other reports.
    • Collaborate with team members across different roles and backgrounds to work effectively and achieve common goals.
    • Develop knowledge of the team, and businesses to help refine the quality of insights and analysis shared within the team.
    • Gather data (via desktop research, interviews with industry experts etc) required and support developments of periodic reports on trends, outlook, growth opportunities and risk that will inform the short- and medium-term planning of the organization.
    • Adhere to approved research methodology in all research assignments to ensure the validity and reliability of data collected and the accuracy of the outputs assigned.
    • Lead the strategy development, planning, monitoring and implementation of business performance using agreed indices and benchmarks.
    • To monitor competitor activities and benchmark our activities and performance to those of our competitors.
    • Provide market intelligence to improve business solution development.
    • Engage in strategic and creative problem solving

    GENERAL EDUCATION

    • First Degree (Science, Engineering, Social Sciences)

    EXPERIENCE

    General Experience:

    • 3 – 7 years’ relevant experience in strategy consulting, market research, market or consumer insights and analysis or related experience

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    Head, Information Systems Audit

    About the job

    • Reporting to Divisional Head, Information Systems and Security Audit, the Head Information Systems Audit will manage individual assigned internal audit engagements, focusing on Information technology systems which support various functions, processes, assets, infrastructure, products, and functions across the Interswitch Group, including Nigeria, Kenya, Uganda, Germany, and other new markets that open up with the company’s expansion. The role requires the requisite IT audit competencies, deploying IT audits and risk control frameworks and will have significant exposure to senior management across all operating companies in the Group. The individual will work and lead internal IT audit staff or utilizing co-sourcing staff to deliver IT related audit assignments through planning, execution, reporting, audit close-out, and follow-up phases in line with the global practices and using technology tools for smart and agile audit execution

    Key Roles & Responsibilities

    • Plan, coordinate and execute IT audits as per the annual audit plan and support IT audit elements within other internal audit engagements
    • Undertake comprehensive engagement-level planning and manage process-level IT risk assessments workshops related to each assignment. (Per audit workplans)
    • Develop schedules, priorities, work procedures, and audit programs for achieving audit objectives and goals.
    • Assign, coach and supervise the daily activity and work of other auditors for quality assurance and adherence to audit methodologies (including co-sourced audit staff)
    • Drive third line IT Audit reviews across applications, databases, operating systems, infrastructure, and network including for example Windows; Linux; Oracle DB; MSSQ
    • Ensure review and working paper documentation supports efficient, accurate, reliable, and effective reporting and conclusions
    • Ensure that findings and recommendations are clearly presented to process owner and agreed upon by management and that a subsequent draft audit report is issued promptly.
    • Prepare draft reports/presentations summarizing results of testing along with proper remediation recommendation
    • Follow-up on outstanding management actions from past reviews
    • Engage with business process owners in their responsibilities regarding internal control compliance
    • Develop value-adding relationships with process owners to facilitate continuous improvement
    • Keep abreast of new trends in Information Technology like cloud computing, blockchain etc. and provide expertise in IT audit methodologies and standards.
    • Use CAAT Tools and application of data analytics techniques for audit purpose including continuous auditing, scripts to query data tables for trends and exceptions
    • Assist audit staffs in performing complex analysis in audits and reviews
    • Perform other functions as assigned by the Chief Internal Auditor

    Experience and Qualifications required

    • Bachelor’s and/or Advanced degree in Computer Science or any related disciplines.
    • Professional IT Audit Qualification – CISA, and other IT certifications like CRISC, CISM and CISSP.
    • Professional internal audit qualifications are a good advantage
    • Other general IT certifications are a good advantage
    • 10-12 years relevant experience in IT Audit (including 3 years in a managerial position).
    • Prior experience working in fintech or payment services firm, Big 4 professional service firm, banking or other financial services firm, technology firms, etc., will be an advantage.
    • Hands-on experience in IT risk and control auditing; IT general controls and IT application controls auditing; and IT security audit.
    • Experience in big data analytics techniques, continuous auditing and use of CAAT for audit execution
    • Good understanding of the latest IT auditing techniques and use of tools
    • Complex problem-solving skills and the ability to work under pressure

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    Team Lead, Quality Assurance

    About the job

    • The Quality Assurance Lead role will be primarily responsible for identifying quality areas, defining quality matrix and standards. The Quality Assurance Lead is responsible for monitoring staff output such as issue resolution and customer interactions to ensure defined quality standards are maintained always. To manage and enhance the Quality Assurance processes at company, ensuring that testing strategies and practices lead to the delivery of software that meets the highest standards of quality and reliability

    RESPONSIBILITIES

    • Test Planning & Strategy
    • Risk Analysis
    • Automated Testing
    • User Experience Testing
    • Performance Testing
    • Quality Metrics & Reporting Defect Tracking & Management

    EDUCATION

    General Education

    • Accredited Bachelor's in Software Engineering or Computer Science OR Accredited Master’s in Computer Science, Information Technology, or related field EXPERIENCE

    General Experience

    • Minimum between 6 – 8 years
    • Proven experience in how to: Oversee the QA process from test design to defect resolution, ensuring the delivery of enterprise-level, mission-critical FinTech products
    • Lead QA team operations using Agile methodologies to meet deadlines and enhance team efficacy and product dependability, backed by ongoing performance evaluations and system refinements
    • Enforce stringent QA protocols, including adherence to financial data security and compliance standards, by integrating tools such as version control systems, CI/CD pipelines, and automated testing frameworks
    • Cultivate expertise and professional development within QA teams, guiding and embedding best practices to boost interdisciplinary cooperation and elevate product standards

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    Data Analytics and Intelligence Officer

    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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