Latest Jobs at Interswitch

• 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 patternsImplement 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 organisationDevelop 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 processesUse advanced data mining techniques to identify hidden patterns and emerging risk indicators across large volumes of dataOperationalize 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 frameworkStay 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 writingAI prompt engineering
• Strong forensic mindset and investigative curiosity.
• Fraud schemes and scenarioIT systems investigations skillsInvestigating in a complex financial transaction and technology environmentAbility 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 skillsGovernance, Risks and Compliance
• FrameworksInterpersonal skillsBusiness communication (oral, written & presentation)
• Ability to take initiative and being proactive

Experience and Qualifications

• 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 advantageProfessional 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
• Due to the high volume of applications, only shortlisted candidates will be contacted.

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SUMMARY

• The MFS Software Engineer (Mobile Frontend) will be responsible for gathering user requirements, defining mobile application functionality and writing code in majorly Type Script, React Native. Our ideal candidates are familiar with the software development life cycle (SDLC) from preliminary system analysis to tests and deployment. Ultimately, the role of the MFS Software Engineer (Mobile Frontend) is to build high-quality, innovative and fully performing mobile application that complies with coding standards, visual and technical designs.

RESPONSIBILITIES

• Execute full software development life cycle (SDLC)
• Develop flowcharts, layouts and documentation to identify requirements and solutions
• Write well-designed, testable code
• Produce specifications and determine operational feasibility
• Implement reusable components that can be used to create a fully functional mobile application
• Document and maintain software functionality
• Troubleshoot, debug and upgrade existing mobile applications
• Comply with project plans and industry standards
• Ensure mobile application is updated with latest features and stores (Google and Apple) requirements
• Conduct knowledge sharing and training sessions with team members and other internal units
• Ensure audit compliance on all tasks assigned according to company policies

EDUCATION/EXPERIENCE

• B.Eng. / B.Sc. in Elect/Elect, Computer Science or Information Technology inclined degree or diploma
• A minimum of 2 years experience as a Mobile Frontend Engineer (React Native) required

Professional Qualification(s):

• React Native
• Type Script
• Continuous Integration and Continuous Delivery Concepts
• Understanding of Cloud Fundamentals; AWS, Microsoft Azure, etc

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SUMMARY

• The MFS Software Engineers (Backend) will be responsible for gathering user requirements, defining system functionality and writing code in majorly Java. Our ideal candidates will be familiar with the software development life cycle (SDLC) from preliminary system analysis to tests and deployment. Ultimately, the role of the MFS Software Engineer (Backend) is to build high-quality, innovative and fully performing software that complies with coding standards and technical design

RESPONSIBILITIES

• Execute full software development life cycle (SDLC)
• Develop flowcharts, layouts and documentation to identify requirements and solutions
• Write well-designed, testable code
• Produce specifications and determine operational feasibility
• Integrate software components into a fully functional software system
• Document and maintain software functionality
• Troubleshoot, debug and upgrade existing systems
• Comply with project plans and industry standards
• Ensure software is updated with latest features
• Conduct knowledge sharing and training sessions with team members and other internal units
• Ensure audit compliance on all tasks assigned according to company policies

EDUCATION/EXPERIENCE

• B.Eng. / B.Sc. in Elect/Elect, Computer Science or Information Technology inclined degree or diploma
• A minimum of 3 years experience as a Backend Engineer (Java) required

Professional Qualification(s):

• Linux and Windows System Administration Training
• Microsoft SQL, MySQL and Oracle Database administration
• Message queuing: Redis, Kafka, RabbitMQ
• Cloud Native: Docker, Kubernetes, Continuous Integration and Continuous Delivery Concepts
• Java, Springboot, Java EE, Wildlfy, Tomcat-Apache server
• Understanding of Cloud Fundamentals; AWS, Microsoft Azure, etc
• An Understanding of DevOps methodology and Tools would be an advantage