Recruitment at Interswitch Group

Interswitch is an Africa-focused integrated digital payments and commerce company that facilitates the electronic circulation of money as well as the exchange of value between individuals and organisations on a timely and consistent basis. We started operations in 2002 as a transaction switching and electronic payments processing, and have progressively evolved into an integrated payment services company, building and managing payment infrastructure as well as delivering innovative payment products and transactional services throughout the African continent. At Interswitch, we offer unique career opportunities for individuals capable of playing key roles and adding value in an innovative and fun environment.

We are recruiting to fill the position below:

Job Title: Lead, Application & DataBase Control 

Location: Nigeria

Job Summary

• The Lead, Application, and Database Control plays a pivotal role in ensuring the resilience and reliability of the organization’s technology environment. Reporting to the Head of Information Systems Control, this position is responsible for managing the assessment, enhancement, and monitoring of IT general and application controls across systems, infrastructure, and processes. The role enforces alignment with established frameworks—such as COBIT, COSO, ISO 27001, and ITIL—and ensures compliance with regulatory and internal standards.
• This position conducts periodic system audits, cybersecurity vulnerability assessments, penetration testing, and access certification reviews to identify risks, control weaknesses, or non-compliance. It oversees thorough investigations of incidents—both operational and cyber-related—to perform root cause analysis, document findings, and recommend corrective actions and control enhancements.
• The role coordinates remediation efforts by working closely with control owners, tracking progress, and reporting milestones. It prepares high-quality internal control reports—including ad hoc, monthly, and quarterly summaries—for senior stakeholders such as the Head of IS Control, Group Chief Risk Officer, Group Managing Director, and Audit & Risk Committee, ensuring transparency and timely escalation of critical issues.
• Additionally, the Lead, Application and Database Control would drive quarterly cyber assurance reviews, monitor emerging legislative and regulatory developments, and stay abreast of technology risk trends. The role also supports internal and external audit processes by generating evidence, responding to inquiries, and advocating for the closure of audit findings. Through these efforts, the Lead, Application and Database Control enhances control maturity, fosters accountability, and contributes to the organization’s cyber and operational resilience.

Key Responsibilities

• Control Assessment & Implementation – Assist in conducting system audits, cybersecurity vulnerability reviews, access reviews, and IT general control (ITGC)/ICoFR testing to ensure adequacy and compliance. Identify control gaps or weaknesses, escalate findings, and support the design of remediation plans in collaboration with control owners.
• Incident Response & Root Cause Analysis – Support incident investigations involving IT control failures, system outages, or data integrity issues. Conduct root cause analyses, document technical findings, and implement control enhancements under supervision.
• Monitoring & Reporting – Prepare internal control documentation, test results, and status updates for review by the Head of IS Control. Monitor corrective action plans and conduct follow-up testing to verify effective implementation.
• Compliance & Audit Coordination – Provide technical support during internal and external audits, supplying control evidence and assisting in addressing audit queries. Ensure legislative and regulatory changes affecting IS controls are communicated and incorporated into control procedures.
• Continuous Assurance & Knowledge Management – Run automated control monitoring and vulnerability scans; track results and recommend improvements. Maintain awareness of emerging technology risks and regulatory developments to support continuous enhancements.
• Stakeholder Engagement – Work closely with IT teams to validate remediation activities. Collaborate with Audit, Compliance, Operations, and Finance to integrate control improvements and share insights.

Experience

• Bachelor’s degree in Information Technology, Computer Science, Cybersecurity, or a related field.
• Professional certifications such as CISA, ECSA, Security+, CEH, CISSP, CHFI, ISO 27001 Lead, or equivalent (preferred).
• Minimum of 6 years’ experience in IT control, audit, or risk management roles—preferably within fintech, financial services, or large enterprise environments.
• Hands-on experience conducting system audits, using vulnerability assessment tools, performing ICoFR testing, and tracking remediation activities.
• Strong analytical and problem-solving skills, with a detail-oriented and structured approach to documentation.
• Excellent communication abilities—able to present complex technical findings clearly to both IT teams and business stakeholders.
• Solid understanding of IT control frameworks and compliance standards, including COBIT, COSO, and ISO 27001.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Implementation Engineer

Location: Nigeria

About the Job

• Development of Android payment application on Point of Sale terminals

Responsibilities

• Design and build advanced applications for the Android platform.
• Collaborate with cross-functional teams to define, design, and implement new features.
• Work with external data sources and APIs.
• Conduct unit testing to ensure robustness, covering edge cases, usability, and general reliability.
• Identify and fix bugs while continuously improving application performance.
• Continuously research, evaluate, and implement new technologies to maximize development efficiency.

Requirements
Academic Qualification(s):

• Candidates should possess a BS / MS Degree in Computer Science, Engineering, or a related field with 3-4 Years of experience.

Professional Qualification(s):

• Proven software development experience with Android and POS terminals.
• Experience publishing or deploying production-ready POS/payment applications.
• Strong experience with the Android SDK and POS device integrations.
• Hands-on experience working with EMV payment flows, APDU commands, and ISO 8583 messaging.
• Experience integrating EMV kernels, payment SDKs, and third-party APIs.
• Demonstrated expertise with EFT/POS payment systems.
• Working knowledge of PCI-DSS, EMVCo, and scheme certification requirements.
• Knowledge of mobile and POS hardware architectures (NFC, card readers, PIN pads).
• Solid understanding of the full software development life cycle (SDLC).
• Proficiency in Java and Kotlin for Android development.
• Experience with Android frameworks such as Jetpack, Retrofit, and Dagger/Hilt.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Lead Data Engineer

Location: Nigeria

About the Job

• To build reliable data integration solutions, clean, transform, and analyze vast amounts of big data from various systems using Spark and other ETL tools to provide ready-to-use dataset to data scientists and data analysts, while ensuring data quality and integrity.
• Collaborate with stakeholders to design scalable and efficient data solutions that enable informed decision-making, and compliance with data governance.

Responsibilities
Data Ingestion and Extraction:

• Develop and implement efficient data ingestion pipelines to acquire and extract large volumes of structured and unstructured data.
• Ensure data integrity and quality during the ingestion process.
• Integrate various data sources and formats into a unified data ecosystem.

Data Processing and Transformation:

• Design and execute data processing workflows to clean, transform, and enrich raw data.
• Develop scalable data processing algorithms and techniques to handle big data volumes efficiently.
• Optimize data processing pipelines for performance and reliability.

Data Storage and Management:

• Create and maintain data storage architectures that cater to the specific needs of big data applications.
• Implement robust data management strategies, including data partitioning, indexing, and compression techniques.
• Ensure data security, privacy, and compliance with relevant regulations.

Data Analysis and Modeling:

• Collaborate with data scientists and analysts to understand their requirements and translate them into scalable data models.
• Apply data visualization techniques to communicate insights effectively.

Performance Optimization:

• Identify and implement strategies to enhance the performance and efficiency of big data applications and systems.
• Conduct performance tuning, load testing, and capacity planning to meet scalability and throughput requirements.
• Monitor system performance and troubleshoot issues related to data processing, storage, and retrieval.

Data Governance and Compliance:

• Establish and enforce data governance policies, standards, and best practices.
• Ensure compliance with data regulations such as GDPR or HIPAA by implementing appropriate data protection measures.
• Conduct data audits and implement data quality controls to maintain data accuracy and consistency.

Collaboration and Communication:

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data requirements and provide technical support.
• Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
• Participate in knowledge-sharing activities and contribute to the continuous improvement of data engineering practices.

Documentation and Reporting:

• Document data engineering processes, workflows, and system architectures for future reference and knowledge transfer.
• Prepare technical documentation, including data dictionaries, data lineage, and system specifications.
• Create and maintain documentation related to data governance, compliance, and security protocols.

Education
General Education:

• BSc in Computer Science, Computer Engineering, or a related field.
• Evidence of strong industry or sector participation and possession of relevant professional certifications such as:
• Microsoft Azure Data Engineer Associate
• Databricks Certified Data Engineer Associate
• Databricks Certified Data Engineer Professional
• Amazon Web Services (AWS) Certified Data Analytics – Specialty
• Cloudera Data Platform Generalist Certification
• Data Science Council of America (DASCA) Associate Big Data Engineer
• Data Science Council of America (DASCA) Senior Big Data Engineer
• Google Professional Data Engineer
• IBM Certified Solution Architect – Cloud Pak for Data v4.x
• IBM Certified Solution Architect – Data Warehouse V1

General Experience:

• Minimum of 7 years’ experience developing, deploying, and managing robust ETL/ELT data solutions, preferably within a reputable Financial Institution or FinTech company.
• Demonstrated experience in building and maintaining scalable data pipelines, integrating multiple data sources, and ensuring end-to-end data quality and performance.
• Proven track record of collaborating with cross-functional teams (Data Scientists, Engineers, and Analysts) to deliver high-impact, data-driven insights and systems.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Sales Manager

Locations: Nigeria

Job Purpose

• To drive sales strategy translation into a sales plan and detailed activities with the primary purpose of driving sales growth and achieving revenue targets for their assigned state.
• To drive adoption of sales operational policies, monitor overall strategy implementation against timeline and budgetary margins.
• To enhance service delivery and engagement with relevant stakeholders and periodic reports on progress and achieved milestones with the BU and Regional heads.

Responsibilities

• Develop and implement relationship management plans for complex existing customer and partner accounts to identify and build relationships with relevant decision makers and influencers within the customer organisation and to enable effective two-way flow of information and resolution of issues.
• Manage ongoing relationships with identified customer segments to ensure their needs are met, providing themes, summary analyses, and recommendations for changes based on customer input.
• Maintain sales tools and methods and deploy consistent communications channels with customers to enhance service delivery.
• Manage key aspects of the data management system. This includes being responsible for developing or operating key elements of the system.
• Contribute to the design and creation of reporting strategies and templates.
• Lead execution of complex reports, identifying and interpreting complex patterns and trends, and translating those insights into actionable recommendations for focus area
• Develop a personal network within the business sector and represent Interswitch at business sector events.
• Obtain market intelligence and enhance the visibility and reputation of Interswitch, its products, and its services.
• Set and manage achievement of contributing individuals and regional targets.
• Contribute to the Sales plan by providing input regarding the implementation of initiatives.
• Configure a complex product and services solution and associated contractual terms that meet the customer’s mid- to long-term needs, taking input from relevant internal specialists.
• Present the solution to customer representatives and negotiate agreement within a pre-defined range of commercial parameter.
• Develop internal marketing plans, work collaboratively with other departments to improve internal relationships and build strong external customer relationships.
• Use data from a wide range of sources to analyze key themes, and identify trends of customers’ interests, direction and sales as well as suggest changes to products and services accordingly.
• Oversee deployment of sales network integration, and handle communication and negotiation with business partners, service providers, and subsidiaries.
• Attend meetings with relevant stakeholders and acquire sales and risk management processes and share them with sales executives and execution team.
• The Sales Manager must be able to not only formulate but also effectively execute strategic plans, for achieving objectives. Their contribution to the formation of a key element of functional strategy through specialist expertise and insights is key to ensure that the regional strategy meets business needs.

Educational Qualification and Experience

• University Post Graduate Degree in Sales and Marketing, Business, Economics or Finance-related field.
• At least 6 years of wide and deep experience in Sales and Business Development roles within reputable financial institutions or the payments industry, including a minimum of 3 years of customer-facing experience in the FinTech space.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Data Engineer

Location: Nigeria

Job Summary

• To build reliable data integration solutions, clean, transform, and analyze vast amounts of big data from various systems using Spark and other ETL tools to provide ready-to-use datasets to data scientists and data analysts, while ensuring data quality and integrity.
• Collaborate with stakeholders to design scalable and efficient data solutions that enable informed decision-making, and compliance with data governance.

Responsibilities
Data Ingestion and Extraction:

• Develop and implement efficient data ingestion pipelines to acquire and extract large volumes of structured and unstructured data.
• Ensure data integrity and quality during the ingestion process.
• Integrate various data sources and formats into a unified data ecosystem.

Data Processing and Transformation:

• Design and execute data processing workflows to clean, transform, and enrich raw data.
• Develop scalable data processing algorithms and techniques to handle big data volumes efficiently.
• Optimize data processing pipelines for performance and reliability.

Data Storage and Management:

• Create and maintain data storage architectures that cater to the specific needs of big data applications.
• Implement robust data management strategies, including data partitioning, indexing, and compression techniques.
• Ensure data security, privacy, and compliance with relevant regulations.

Data Analysis and Modeling:

• Collaborate with data scientists and analysts to understand their requirements and translate them into scalable data models.
• Apply data visualization techniques to communicate insights effectively.

Performance Optimization:

• Identify and implement strategies to enhance the performance and efficiency of big data applications and systems.
• Conduct performance tuning, load testing, and capacity planning to meet scalability and throughput requirements.
• Monitor system performance and troubleshoot issues related to data processing, storage, and retrieval.

Data Governance and Compliance:

• Establish and enforce data governance policies, standards, and best practices.
• Ensure compliance with data regulations, such as GDPR or HIPAA, by implementing appropriate data protection measures.
• Conduct data audits and implement data quality controls to maintain data accuracy and consistency.

Collaboration and Communication:

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data requirements and provide technical support.
• Communicate complex technical concepts and findings to non-technical stakeholders clearly and concisely.
• Participate in knowledge-sharing activities and contribute to the continuous improvement of data engineering practices.

Documentation and Documentation:

• Document data engineering processes, workflows, and system architectures for future reference and knowledge transfer.
• Prepare technical documentation, including data dictionaries, data lineage, and system specifications.
• Create and maintain documentation related to data governance, compliance, and security protocols.

Education
Academic Qualification(s):

• B.Sc in Computer Science/Engineering or related field.

Evidence of strong industry/sector participation and relevant professional certifications such as:

• Azure Data Engineer Associate
• Databricks Certified Data Engineer Associate
• Databricks Certified Data Engineer Professional
• Amazon Web Services (AWS) Certified Data Analytics – Specialty
• Cloudera Data Platform Generalist Certification
• Data Science Council of America (DASCA) Associate Big Data Engineer
• Data Science Council of America (DASCA) Senior Big Data Engineer
• Google Professional Data Engineer
• IBM Certified Solution Architect – Cloud Pak for Data v4.x
• IBM Certified Solution Architect – Data Warehouse V1

Experience:

• At least 3 years developing, deploying, and managing robust ETL/ELT data solutions, preferably in a reputable Financial Institution or FinTech company.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online