Senior Data Analyst, Internal Audit

icon building Syarikat : Gxbank
icon briefcase Jenis Pekerjaan : Sepenuh Masa

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Penerangan Pekerjaan - Senior Data Analyst, Internal Audit

The Day-to-Day Activities
  • Apply strategic thinking and computational methods to review key processes.
  • Cultivate cross-domain and cross-functional knowledge by engaging with the Bank's business, products, and operations using extensive data analysis.
  • Conduct data mapping and internal analytics to support data-driven audit reviews, continuously refining auditing methods.
  • Develop scripts and programs to automate data extraction from diverse sources within the Bank, ensuring accurate and timely data acquisition.
  • Create dashboards for real-time monitoring of key business processes, evaluating effectiveness, efficiency, and adherence to performance metrics.
  • Build predictive models to forecast trends or risks based on historical data patterns, aiding in proactive issue anticipation.
  • Investigate and resolve data-related issues promptly to maintain integrity and accuracy of audit findings.
  • Contribute to the development of data-driven audit methodologies and techniques, including automation of repetitive audit procedures.
  • Champion and uphold standards of excellence within the Internal Audit function in change management, documentation, and data protocols to ensure compliance with regulatory requirements.
  • Support Internal Audit planning activities by analysing historical data, industry benchmarks, and regulatory requirements to prioritise high-risk audit areas.
  • Collaborate with the Head, Business Audit to maintain and streamline audit processes within the GRC platform.
  • Utilise data visualisation tools to present real-time audit findings, management action plans statuses effectively, facilitating in decision-making processes.
  • Assist internal audit teams by conducting audit tests during periods of lower activity.
GX Bank Berhad - the Grab-led Digital Bank - is the 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 addresses the financial struggles of Malaysians and businesses. We are seeking a dynamic and experienced Learning and Talent Manager to join our team. The ideal candidate will be responsible for developing and implementing learning and development strategies to enhance the skills and capabilities of our employees. Additionally, the Learning and Talent Manager will play a key role in talent management initiatives, career pathing and succession planning. 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 Nice-To-Haves
  • Experience working in a digital bank or financial services industry.
  • Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.
  • Familiarity with machine learning and advanced analytics techniques.
Data Analytics, Data Visualisation, Powerbi, Bi Tools, Data Warehousing, Tableau, Sql, Python
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