Assistant Manager/Manager, Data Analytics (Internal Audit)

Genting Singapore Limited

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Job Summary

Job Type


Years of Experience
At least 5 years

Tech Stacks
Data Mart

Job Description

  • Support the Internal Audit department to incorporate data analytics into financial, operation, compliance and technology audits within the departmental and professional standards using risk-based audit approach.
  • Extract and safe keep of data from systems for generation of exception-based scripts / reports.
  • Verify the integrity of the audit data mart to ensure the completeness / accuracy before developing the required scripts / reports.
  • Develop exception-based scripts / query reports to facilitate the team in their conduct of audits and/or investigations in identifying outliers / anomalies / trends.
  • Create structured and meaningful insights to identify red flags / areas of improvements / detect potential fraud.
  • Ability to communicate effectively to the team during the conclusion of the work.
  • Key data analytics champion for the team to promote the usage of data analytics techniques consistently and enhance data analytics skills of the team members continuously.
  • Identify opportunities for advanced data analytics, robotic process automation, AI and Machine Learning to support continuous auditing and auditing initiatives.


  • Minimum 5 years of relevant experience as a Data Scientist / Data Analyst (candidates with lesser years of experience may be considered for a more junior position within the department). Experience in applying data analytics for audit / compliance functions / hospitality / gaming industry has added advantage.
  • Degree in Business, IT, Computer Science, Engineering or any equivalent discipline with additional recognised diploma in analytics.
  • Strong experience in using Python, R, SQL, Microsoft Office Suite or similar software.
  • Experience with data visualisation tools, such as Tableau, Power BI and Qlikview.
  • Able to work independently in handling, cleansing and conducting analysis on large and complex data sets from various business processes and systems.
  • Self-motivated, eager to learn and stay up-to-date on the latest trends and technologies.
  • Good written, analytical, communication and presentation skills.


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