WHO WE ARE:

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.

Job Overview:
The role is responsible for delivering high-quality data analytics and management reporting to support the credit card and unsecured loan business. The candidate will play a key role in producing regulatory submissions, tracking business performance, and providing data insights to drive business growth

What You Will Be Doing:

• Develop and maintain regular regulatory and business performance reports to monitor portfolio trends, campaign results, and key performance indicators.

• Ensure regulatory data submissions are timely, accurate, and compliant with internal and external requirements

• Conduct data analysis and automation to streamline reporting processes and improve data quality

• Support management dashboards and ad hoc analysis to facilitate business decision-making

• Prepare and draw insights from dashboard and turn into actionable recommendations

• Continuously enhance data governance and quality assurance processes within the analytics infrastructure

What We Are Looking For:

• Bachelor’s degree or above in Statistics, Data Science, Computer Science, Mathematics, or a related discipline

• At least 5 years of experience in credit card data analytics, preferably within the banking or financial services sector

• Strong understanding of credit card and unsecured lending business metrics, performance drivers, and regulatory expectations

• Solid and hands on experience with SAS, SQL and Python

• Solid experience in Power BI, Qlik, Tableau or any visualization tool for report automation

• Strong knowledge of Enterprise Big Data Platforms (e.g., Hadoop, Spark, AWS, Azure)

• Excellent attention to detail and problem-solving skills.

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What we offer:

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.