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
- Identify risks and design analytical frameworks for compliance and fraud detection.
- Engage with key stakeholders to understand and challenge strategic objectives, proactively identifying business pain points and uncovering underlying needs beyond surface-level requests.
- Drive the analytical narrative with conviction, proposing and securing buy-in for robust analytical solutions that align with strategic goals for risk mitigation, process optimization, and business growth.
- Serve as a direct interface throughout the project lifecycle, from understanding requirements to planning execution and managing timelines, ensuring alignment and expectation management with senior stakeholders.
- Build sophisticated data visualizations and interactive dashboards to effectively communicate complex analytical results and insights to a senior audience.
- Design, implement, and optimize complex data pipelines, ensuring smooth data flow, high data quality, and clear data lineage.
- Explore and integrate diverse existing and new data sources, conducting advanced exploratory data analysis to identify relevant data and create valuable features for analytics.
- Collaborate with data specialists across Data Chapter & Technology teams to provide technical guidance and project context, ensuring effective support for foundational data pipelines, ad-hoc analysis, and dashboard maintenance related to your projects.
Requirements
- Degree in Data Science, Business Analytics, Mathematics, Statistics, Computer Science, Information Engineering, or related disciplines.
- Related data, analytics & AI accreditation obtained via MOOC (e.g. Coursera, edX, Udacity, Data Camp) or other education institutions is a strong plus.
- 5+ years of experience in data analytics, with a sizable portion dedicated to strategic stakeholder engagement and leading analytical projects in a corporate banking or financial services environment
- Experience in banking data (e.g. transactional data, customer lifecycle data, risk & control data) is a strong plus
- Solid experience in building, optimizing, and maintaining complex data pipelines and transforming large volumes of data for strategic analytics.
- Proficiency in Python / PySpark for data manipulation, analysis, and model development
- Experience in cloud computing (e.g. Cloudera, Google Cloud Platform GCP, AWS) and big data computation framework (e.g. Spark, Kedro).
- Ability to build sophisticated data visualization from scratch. Experience in Qlik Sense/ QlikView is a must.
- Conversant with working on large, complex of datasets. Ability to quickly code to explore vast datasets to support ad hoc analysis.
- Prior experience in mentoring junior analysts or team members is highly desirable.
- Exceptional communication and presentation skills, with the ability to articulate complex analytical concepts and insights clearly and concisely to diverse audiences, including senior management.
- Strong strategic acumen and problem-solving abilities, capable of challenging assumptions constructively and proactively identifying high-impact analytical opportunities.
- Demonstrated ability to work collaboratively in a fast-paced environment and influence outcomes with both business and technology teams.
- Passionate in new technologies (e.g. AI ML/ GenAI, Agentic AI), eager to learn and can-do attitude.
- Proficient in 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.
Location: One Island East
Job: Analytics
Schedule: Regular
Employee Status: Full time