Key Responsibilities
Manages, administers and executes IT Audits and Data Analytics for AAR Insurance Kenya.
Helps the business to deliver IT strategic initiatives successfully by focusing on the significant risks, both existing and emerging.
Delivers IT Audit assignments on time & in accordance with the Internal Audit methodology.
Understands the risk profile of the business, gains and applies extensive industry knowledge in the various business lines.
Provides independent opinion on risk & control environment for the various business functions or processes.
Supports the financial & operational internal audit staff with IT related aspects and adds value to audit assignments through an analytical approach to work.
Engages with process owners in liaison with the Head of Audit to agree on IT audit deliverables (risk assessments, control workshops and adequacy assessments), timeframes and issues audit findings in relation to work done.
Challenges and influences the relevant executives to improve the IT governance, risk and control culture.
In liaison with the Head of Audit, collaborate with functions across the organization to ensure complete understanding and transparency of internal controls and processes.
Promote a culture of transparency and continuous improvement by regularly communicating audit findings, insights, and recommendations to senior management and the Head of Audit
Support the preparation of regular Internal audit reports to executive management and the Board Audit Committee.
LEVEL OF EDUCATION & EXPERIENCE:
Holder of a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or Information Technology.
Professional qualifications in CISA. CPA is an added advantage
Certification in at least one data analytics and visualization tool.
Possess at least four years experience in IT Audits and Data Analytics within an Internal and / or External audit function.
Experience in the financial services industry is an added advantage.
Strong analytical and critical thinking skills to approach complex problems and derive actionable insights from data.
Organized with a structured approach to work and ability to multi-task.