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This job is a Senior Data Analyst for Internal Audit. You might like this job because you'll use advanced analytics and automation to improve auditing processes, tackle fraud risks, and help shape data-driven decisions in a dynamic banking environment.
Undisclosed
Petaling Jaya (First Avenue), Kuala Lumpur
Ongoing support on the audit engagements by conducting internal audit analytics to identify systemic vulnerabilities and control weaknesses. Build and maintain continuous auditing dashboards for real-time monitoring of key business processes and controls, evaluating effectiveness, efficiency, and adherence to performance metrics. Deliver rapid-response analytics during emergency or high-priority investigations (i.e., fraud, critical vulnerabilities, etc.) specifically to quantify risk magnitude and exposure, pivotal in supporting management’s response on appropriate corrective measures and systemic remediations. Design and implement Robotic Process Automation (“RPA”) solutions to streamline repetitive audit tasks to eliminate manual errors and increase audit efficiency. Develop Machine Learning (“ML”) and Large Language Models (“LLMs”) to forecast emerging risk trends and identify behavioral anomalies. Support with the independent model validation exercise to ensure they adhere to the Bank’s Model Governance Framework and decision-making is transparent / non-bias, this includes review of the underlying algorithms, data inputs and performance metrics. Utilise data visualisation tools to present real-time audit findings, management action plans statuses effectively, facilitating in decision-making processes. Develop and maintain internal policies, procedures and manuals to govern the end-to-end processes of audit analytics, continuous auditing including model-based audits. Develop and manage a central repository for audit analytics, continuous auditing, and robotic process automation projects. Validate the underlying business rules and logics regularly, ensuring the scripts and workflows remain relevant to the current business environment and operations. Lead regular engagement sessions with audit stakeholders to translate audit objectives into technical data requirements. Collaborate with Data Governance to onboard and maintain the required datasets within the Bank’s data warehouse ensuring data availability. Also assist with the investigation and resolution of data-related issues promptly to safeguard the integrity and accuracy of audit analytics. Cultivate cross-functional knowledge by engaging with key stakeholders from product, operations, risk and compliance teams to understand more about the evolving digital banking landscape of the Bank including relevant compliance standards, to allow for refinement of alignment in the analytics or models. Collaborate with the Head of Business Audit to maintain and streamline audit processes within the GRC platform. Assist internal audit teams by conducting audit tests during periods of lower activity.
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Last active - few hours ago
0 - 10 Years of Experience
