Senior Associate, Data/Business Analyst, Corporate Banking at DBS Bank

Hong Kong Island, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

29 Jul, 26

Salary

0.0

Posted On

30 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data analytics, Python, PySpark, Qlik Sense, QlikView, Data visualization, Data pipelines, Stakeholder engagement, Risk mitigation, Financial services, Corporate banking, Big data, Cloud computing, Strategic planning, Communication, Mentoring

Industry

Banking

Description

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 DBS is more than a bank — we're shaping the future of finance and communities. With innovation at our core and impact in our DNA, we go beyond banking to build careers, relationships, and a better world. DBS is a leading financial services group in Asia with a presence in 19 markets. Headquartered and listed in Singapore, DBS is in the three key Asian axes of growth: Greater China, Southeast Asia and South Asia. Recognised for its global leadership, DBS has been named “World’s Best Bank” by Global Finance, “World’s Best Bank” by Euromoney and “Global Bank of the Year” by The Banker. The bank is at the forefront of leveraging digital technology to shape the future of banking, having been named “World’s Best Digital Bank” by Euromoney and the world’s “Most Innovative in Digital Banking” by The Banker. In addition, DBS has been accorded the “Safest Bank in Asia” award by Global Finance for 15 consecutive years from 2009 to 2023. DBS provides a full range of services in consumer, SME and corporate banking. As a bank born and bred in Asia, DBS understands the intricacies of doing business in the region’s most dynamic markets and is committed to building lasting relationships with customers. With its extensive network of operations in Asia and emphasis on engaging and empowering its staff, DBS presents exciting career opportunities.

Responsibilities

The role involves designing analytical frameworks for risk and fraud detection while engaging with stakeholders to drive strategic business growth. You will also be responsible for building complex data pipelines and interactive dashboards to communicate insights to senior management.