AVP, Specialist, Data/Business Analyst, Consumer Banking (Card & Unsecured Lending Analytics)

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 core business drivers and priorities, identifying opportunities where advanced analytics can deliver significant value.
• Explore diverse data sources and conduct thorough exploratory data analysis, pinpointing relevant data for problem-solving and creating valuable features for analytics.
• Translate complex business problems and opportunities into tangible analytics requirements, recommending data-driven solutions.
• Collaborate effectively with stakeholders to propose and evaluate actions for performance improvements.
• Lead project discussions with stakeholders to define requirements and timelines, subsequently guiding internal team members through the execution phase.
• Conduct in-depth research, analyze, and articulate meaningful insights using data to accelerate business growth.
• Develop compelling visualizations and interactive dashboards to effectively communicate analytical results to stakeholders.
• Collaborate with the Regional T&D team to develop robust data solutions, ranging from on-demand queries to sophisticated machine learning models, aimed at driving business growth and productivity gains.
• Manage end-to-end solution delivery and stakeholder relationships.

Requirements

• A degree in Business Analytics, Mathematics, Statistics, Computer Science, Information Engineering, or a closely related discipline.
• Relevant accreditations obtained via MOOCs or other educational institutions are considered a plus.
• A minimum of six years of experience in data analytics.
• Prior hands-on experience within the banking industry is advantageous.
• Functional / Technical Competencies:
• Demonstrated strong business analysis skills.
• Solid experience in understanding and visualizing data in the most effective manner for a given project.
• Proficient knowledge in data wrangling using Python to perform independent analysis.
• Experience in cloud computing platforms (e.g., GCP, AWS) and big data computation frameworks (e.g., Spark) is a mandatory requirement.
• Knowledge of various data analytics techniques such as predictive, prescriptive, and machine learning.
• Working knowledge in building visualizations, including interactive dashboards. Experience with Qlikview / Qlik Sense is a plus.
• Banking domain knowledge and/or Consumer banking product knowledge is a plus.
• Experience in PoC/development with Generative AI/Agentic AI use cases is a plus.
• Soft Skills:
• Ability to navigate complex environments to drive outcomes with stakeholders.
• Ability to clearly articulate data deliverables in an easily understandable manner, both orally and in written format.
• A collaborative spirit with a proactive, \"can-do\" attitude to assist business needs.
• Passionate about new technologies and possessing an eager-to-learn attitude.
• Strong resource planning and communication skills.
• Proficient in English, Chinese, and Mandarin.

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.

Location:
One Island East

Job:
Analytics

Schedule:
Regular

Employee Status:
Full time