Get to know our Company:
GX Bank Berhad - the Grab-led Digital Bank - is the FIRST digital bank in Malaysia, approved by BNM to commence operations. We aim to leverage technology and innovation to serve the financial needs of the unserved and underserved individuals, and micro and small medium enterprises.
We are driven by our shared purpose and passion to bring positive transformation to the banking industry, starting with solutions that address the financial struggles of Malaysians and businesses.
The Day-to-Day Activities:
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.
The must haves:
Bachelor’s Degree in Analytics / Data Science / Computer science / Information System / Business / Accounting or equivalent.
Minimum 10 years of data analytics or audit experience.
Strong understanding of data technologies, including databases, data warehousing and data analytics.
Sound knowledge in SQL and Python.
Experience with data visualisation tools and techniques (e.g. Tableau, PowerBI, or similar BI tools).
Robust analytical mindset and exhibits a persistent drive for investigation and data exploration.
Strong communication and interpersonal skills.
Meticulous with high attention to detail.
Ambitious, self-driven and highly motivated individual who can work well in a startup VUCA (Volatile, Uncertain, Complex, Ambiguous) environment. Should have a deep desire to excel and develop a career in a fast-growing tech company. Should have demonstrated integrity and respect in the performance of duties.
The good to have:
Experience working in a financial services industry.
Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.
Familiarity with machine learning and advanced analytics techniques.