Our client is looking for a Lead IT Audit Manager to cover Assurance, Advisory and Anticipatory monitoring activities, and other technology domains. The Manager also has opportunities to work on continuously improving the audit team’s methodology and practices.

 Job Responsibilities
– Has expertise in overseeing audits, managing fieldwork, writing issues, and reporting.
– Has experience analyzing technologies in the areas of infrastructure, apps, cyber security, cloud computing, governance procedures, and horizontal IT processes.
– Lead, organize, and carry out audits of IT processes, applications, and infrastructure.
– As part of integrated audits, evaluate system controls that support applications and business processes.
– Create and maintain IT audit programs and tests using originality and creativity while utilizing automation and data analytics.
– Identify shortcomings and offer helpful suggestions to mitigate and rectify identified hazards.
– Through ongoing risk assessment and monitoring, regular interactions with stakeholders, and the proposal of adjustments to the IT audit work plan and scope as necessary, identify emerging hazards in the environment.
– Compare current audit processes and methodologies to industry best practices, review, and suggest improvements.
– Create and uphold cooperative working connections with stakeholders. bolster the control environment at the company through consulting and teamwork projects.
– A solid grasp of the dangers and trends in modern technologies. Show a great capacity for knowledge acquisition and review of novel developing technology domains.

Job Requirements
– The ideal candidate would be someone with a mix of both internal and external audit experience.
– Degree in Computer Science, Information Systems or its equivalent from a reputable education institute, with professional certification such as CISA, CISSP, CISM.
– At least 8 years of IT audit or IT risk management work experience, preferably with internal audit experience in the Banking and Finance Industry.
– Demonstrated experience and proficiency in programming and the use of data analytics and visualization tools (e.g. Python, SQL, ACL, Alteryx, Tableau).

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