Business Function

As the leading bank in Asia, Group Strategy, Transformation, Analytics and Research (GSTAR) supports our management on the implementation of the Group’s agenda. Data Chapter, organised under GSTAR, is committed to create synergies between the data analytics functions across the bank, establish centre of excellence, shared services, and reusable data assets, as well as enhance career opportunities and the sense of community for data professionals.

Responsibilities

• Collaborate closely with cross-functional teams, including business stakeholders as well as local and regional Data Chapter analytics professionals to identify and execute data analytics requirements, lead and deliver data-driven initiatives in alignment with MtJ (Managing through journey) goals and objectives. These include conducting in-depth business intelligence and advanced analytics to proactively discover and fulfill customers' needs, identify opportunities, and deliver innovative solutions to support business growth.
• Utilize advanced analytics techniques and modeling to uncover patterns, trends and opportunities to influence and support business decisions.
• Drive the adoption of data visualization to execute an appropriate monitoring mechanism following DDOM (Data-driven operating model) principles and analytics frameworks to support business performance management to achieve better informed decisions, and to effectively communicate insights and findings to business stakeholders.
• Identify key business questions and develop analytical frameworks to derive insights and actionable recommendations and measure the success/outcomes.
• Explore cutting-edge solutions in Data Science and take initiatives in evaluating new methodologies and user cases as well as experimentation, from ideation, implementation to evaluation.
• Work with data owners on processes to enable and ensure data quality, evangelising the importance of good data hygiene.
• Streamline and automate internal processes to ensure efficient and effective data generation and analytics. Drive the continuous improvement in the team's output in terms of quality and efficiency with reusable data assets.
• Undertake ad-hoc tasks as assigned, participate in system enhancement UAT, and contribute to assigned projects such as data transformation/migration project.

Requirements

• University graduate in Business Analytics, Management Science, Statistics, Operational Research, Computer Science, Mathematics, Engineering, or other related discipline.
• Minimum 8 years of data analytics experience with strong understanding of the Consumer Banking industry or financial institution highly desirable (less experience will be considered for the Senior Associate position).
• Strong technical expertise in data analytics tools and technologies and programming skills, e.g., SQL, Python, R, data visualisation (e.g., QlikSense or equivalent tools) and big data platforms (e.g., Hadoop, Spark), with an understanding of application to financial data.
• Strong analytical skills with good understanding of statistical methodologies. Good knowledge in data management is a plus.
• Excellent analytical and problem-solving skills, with an ability to convert complex financial data and analytics outputs into actionable insights and recommendations.
• Strong leadership and team management skills, with an ability to inspire, motivate and influence a diverse team of analytics professionals and business stakeholders.
• Demonstrated success in collaborating across functions, building strong relationships, and driving data-driven initiatives.
• Effective storytelling, presentation and communication skills.
• Experience in project management.
• Detail-oriented and well-organised.
• Proficiency in spoken and written English and Chinese.

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

We regret only shortlisted candidates will be notified.

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