As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.
Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.
We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.
Your Opportunity Starts Here.
Role Summary
The Data Infrastructure Analyst will support the development, migration, validation and maintenance of credit risk data assets used for reporting, analytics, modelling and regulatory submissions. The role requires hands-on data experience, strong problem-solving skills and the ability to work with business, risk, technology and Group stakeholders to ensure data is complete, accurate, well-controlled and delivered within required timelines.
A key part of this role is to improve operational efficiency through automation. The analyst is expected to identify automation opportunities, build or support end-to-end automation solutions where practical, and maintain appropriate manual review checkpoints where required to ensure the accuracy and completeness of reports before submission to regulators or senior stakeholders.
Job Roles & Responsibilities
1. Data Development, Migration and Platform Onboarding
2. Data Validation, Testing and Quality Assurance
3. Data Infrastructure Maintenance and Data Processing
4. Automation and Continuous Improvement
5. Data Quality Management and Governance Support
6. Stakeholder Collaboration and Initiative Support
Support local and Group initiatives related to data infrastructure, analytics, regulatory reporting and risk data transformation.
Collaborate with cross-functional teams, including Risk, Finance, Technology, Operations and Group stakeholders, to deliver data-related projects.
Communicate findings, risks, issues and progress clearly to both technical and non-technical stakeholders.
Provide support during production incidents, reporting cycles, user queries and change implementation.
Recognised degree in Statistics, Data Science, Computer Science, Information Systems, Engineering, Mathematics, Actuarial Science, Finance, Economics or other quantitative/data-related disciplines. Candidates with data-related degrees will have an added advantage.
At least 5 years of hands-on working experience involving data management, data analysis, data testing, data infrastructure, data engineering, reporting automation or related data roles.
Practical experience with SQL and data processing concepts, including data extraction, transformation, reconciliation and quality checks.
Experience using Python for data processing, automation, validation or analytics is an added advantage.
Exposure to data lake, Hadoop, Cloudera or similar big data ecosystems is an added advantage.
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.