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VP/AVP, Innovation & Decision Science, Group Audit in Singapore at UOB Group

Date Posted: 12/11/2018

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Singapore
  • Job Type:
  • Experience:
    At least 5 year(s)
  • Date Posted:
    12/11/2018

Job Description

Functional area: Internal Audit
Employment type: Full-time
Job Type: Permanent

United Overseas Bank (“UOB”) is seeking talented individuals for an Audit Analytics role within our Audit group. The candidate should have strong analytical skills and thinking with sound business acumen, experienced in project management, programming and analytical background with desire to proactively drive superior outcomes through usage of scientific approach and business intelligence tools.
 
Group Audit Innovation and Decision Science (IDS)
Group Audit IDS team champions the innovation by improving the innovative capability of 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.
 
Job Role
The role is mainly responsible for data analytics support for a large part of Group Audit (GA), 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.
 
Job Responsibilities
  • 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
  • Collaborate with internal and external stakeholders to support GA innovation and decision science development
  • 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
 
Requirements:
  • 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
  • Proven track record of high performance in previous roles
  • 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