Associate, Specialist, Data/Business Analyst, Consumer Banking (Investment)

Business Function

As the leading bank in Asia, Transformation & Data (T&D) supports our management on the implementation of the Group’s agenda. Data Chapter, organized under T&D, is committed to create synergies between the data analytics functions across the bank, establish centres of excellence, shared services, and reusable data assets, as well as enhance career opportunities and the sense of community for data professionals.

Responsibilities

• Understand business drivers and priorities & identify opportunities where analytics can create significant value
• Explore data sources and conduct exploratory data analysis. Identify data which is relevant to the problems to solve. Create features to make them valuable for analytics
• Translate business problems / opportunities into tangible analytics requirements and recommend data driven solutions
• Collaborate with stakeholders to propose and evaluate actions for performance improvements
• Conduct research, analyze, and articulate meaningful insights using data to accelerate business growth
• Build visualization and dashboards to bring analytics result alive for communicating to stakeholders
• Collaborate with Regional T&D team to develop data solutions, ranging from on-demand queries to machine learning models, for business growth and productivity gain
• Manage end-to-end solution delivery and stakeholders

Requirements

• Degree in Business Analytics, Mathematics, Statistics, Computer Science, Information Engineering, or related disciplines
• Related accreditation obtained via MOOC or other education institutions is a plus
• 4+ years of experience in data analytics
• Functional / technical competencies:
  • Strong business analysis skills
  • Solid experience in understanding and visualizing data in the most effective way possible for a given project
  • Solid knowledge in data wrangling in Python to perform analysis independently
  • Experience in cloud computing (e.g. GCP, AWS) and big data computation framework (e.g. Spark) is a must
  • Knowledge in data analytics techniques such as predictive, prescriptive, and machine learning
  • Working knowledge in building visualization including dashboards. Experience in Qlikview / Qlik Sense is a plus
  • Banking domain knowledge / Wealth product knowledge is a plus
• Soft skills:
  • Ability to navigate in a complex environment to drive outcome with stakeholders
  • Ability to clearly articulating data deliverables in a manner easily understood in oral and written format
  • Be collaborative to help business with a can-do spirit
  • Passionate in new technologies and eager to learn attitude
  • Strong resource planning and communication skills

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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