The successful incumbent will be part of the Audit Innovation and Decision Science team which champions the innovation by improving the innovative capability of the Group Audit Function.
It facilitates the innovation process to achieve greater effectiveness and efficiency in terms of improved audit coverage, quality and business impact.
It also leads and drives cross functional programs and projects as well as driving decision science adoption. Besides, IDS team leverages data science by applying statistical approach and technology advancement to gain insights so as to enhance audit findings and recommendations.
The role is mainly responsible for data analytics support for a large part of Group Audit, to uplift the data analytic capabilities of the audit function and establish the infrastructure / tools / data to facilitate the innovative process for auditing.
It requires analytical capabilities and skills to manage and analyze large data to draw actionable insights. Also, excellent coordination and collaboration with internal and external stakeholders is essential to avoid working in silos.
Experience in using analytical tools (such as SQL, SAS, R, Python), visualization tools (such as Qlik, Tableau). Experience working with Hadoop environment and big data technology is preferable.
Partner with audit teams to identify the control weaknesses through analyzing large data files from various systems and understanding the business processes
Develop sustainable and re-usable algorithm and data analytics models / programs to improve the audit efficiency and coverage
Understand GA’s strategy and audit analytics roadmap in order to determine innovative solutions to support its implementation
Assist the lead to drive sector-wide and cross functional programs and projects
Identify new market spaces and facilitate ideas generation
Develop and maintain dashboards and data marts to facilitate continuous auditing
Research, design, develop, analyze and suggest new innovation and decision science concepts / methods to be applied to enhance GA processes, including automation
Leverage data science by applying statistical approach and technology advancement to gain insights so as to enhance audit findings and recommendations.
Drive interdisciplinary approach to problem solving by supplementing data science with business perspective
Participate in developing the data analytics and governance framework for GA
Provide training to audit staff on how to develop and execute audit analytics programs
Bachelor’s degree holder preferably related to Data Analytics, Statistics, Accounting / Audit, Computer Science, Business Management or Information System.
Related qualification and certifications (such as CPA, ACA, CFA, CIA, CISA) are a plus
At least 5 years of relevant experience in audit / business / risk management / programming / software development / data management or advanced analytics such as Decision Trees, Logistics Regression and / or other various Machine Learning algorithm
Practical experience of development and execution of analytics to assess control environments in internal / external audit or risk management function
Practical experience with data analysis / mining tools (e.g. SAS, R, Python) and database system (e.g. SQL Server / Oracle or other RDBMS platform)
Familiarity with data management and Hadoop platform would be a plus
Strong practical knowledge and hand-on experience in data analysis / mining and visualization tools
Good understanding on new and emerging data analytics technologies and tools
Ability to work well under pressure to meet tight deadlines and cope with change and diversity in a fast-paced environment
Excellent verbal, written communication and interpersonal skills, able to work effectively in a team environment with strong partnering and influencing skills
Enthusiastic, self-motivated and willing to take personal responsibility and accountability