SVP, Head of Innovation and Decision Science

UOB (Thailand) (Bangkok, Bangkok City, Thailand)

Bangkok, Thailand

Guided by Asian principles of prudence, enterprise and commitment for more than 80 years, we are committed to building a better future for ASEAN. Through our extensive network and suite of capabilities, we are uniquely positioned to offer financial solutions to the people living in, as well as businesses that connect with and operate within the region.

About this position

The SVP, Head of Innovation and Decision Science is responsible for developing and implementing transformation strategies in internal audit innovation, collaborating with stakeholders, and enhancing internal audit capabilities through data analytics and innovative methods.

Responsibilities

• Develop and implement the IA transformation strategies in terms of IA innovation
• Collaborate with internal and external stakeholders to support IA innovation, decision science development, Data Analytics (DA) implementation and adoption.
• Improve and work on the variety of the initiatives and activities that will enhance the internal audit capabilities.
• Research, design, develop, analyze and suggest new innovation and decision science concepts/ methods to be applied to enhance IA processes, including automation.
• Facilitate the innovation process in order to achieve the greater effectiveness and efficiency in terms improving audit coverage, quality and business impact.
• Conduct the special assignments where appropriate as assigned by Country Head of IA
• 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
• Develop and maintain dashboards and datamarts to facilitate continuous auditing
• Provide training to audit staff on how to develop and execute audit analytics programs

Requirements

• Bachelor’s or Master’s degree in Information Technology, Computer Sciences, Statistics
• Strong analytical skills and logical thinking with sound business acumen
• Minimum 12-15 years of experience in data analytics, programming, automation and business intelligence tools. Statistical Analytics is preferable.
• Practical experience with data analysis/mining tools (e.g. SAS, Python, R) and database management system (e.g. SQL Server/Oracle or other RDBMS platform)
• Practical experience with data visualization tools (e.g. QlikSense, PowerBI, Tableu). QlikSense is preferable
• Good command of written and spoken English
• Good communication skills - both oral and written communication skills
• Energetic performer. Well-organized and willingness to adapt to change