Manager - Personal Financial Services (Data Scientist)

Job description

If you are looking to excel and make a difference, take a closer look at us… This role focuses on enabling data-driven decision-making through the development and execution of robust data strategies. You will collaborate with cross-functional teams to acquire, integrate, and analyze diverse datasets to support core business objectives. This includes building scalable data solutions, leveraging emerging technologies, and applying advanced analytics to drive strategic recommendations and business value. Strategic Leadership: Lead the development and execution of the department’s data strategy, covering the entire lifecycle from data acquisition to advanced modelling. Operational Excellence: Manage the resources, timeline and quality of model development, ensuring all outputs align with core business objectives. Innovation & Automation: Drive process improvements by leveraging new technologies to automate repetitive tasks and enhance team efficiency. Advanced Analytics: Develop models for complex business scenarios and design interactive dashboards to communicate actionable insights to stakeholders. Predictive Analytics: Move beyond descriptive reporting by leveraging AI/ML knowledge to forecast trends or customer churn. Stakeholder Management: Partner with business units to understand market and customer needs, delivering tailored data solutions. Executive Communication: Interpret complex modelling results and present strategic findings to senior management to guide high-level decision-making. Mentorship: Lead and mentor a team of data scientists, fostering technical growth in machine learning, AI, statistical modelling and soft skills as well. Team Growth: Responsible for growing a highly competent data scientist team. Partner with stakeholders and cross-functional teams to acquire and apply the necessary knowledge for delivering a robust and high-quality data solution thus drive business strategy and decision making. Education/Qualification Degree in Actuarial Science, Statistics, or equivalent Knowledge in SQL and scripting languages like Python or R for data manipulation, analysis, and modeling. Knowledge in data visualization tools like Tableau, Power BI, or similar to create compelling reports and dashboards. Knowledge in AI or machine learning is required. Minimum 8-10 years in Data Science with 3+ years in leadership About Hong Leong Bank We are a leading financial institution in Malaysia backed by a century of entrepreneurial heritage. Providing comprehensive financial services guided by a Digital-at-the-Core ethos has earned us industry recognition and accolades for our innovative approach in making banking simpler and more effortless for our customers. Our digital and physical offerings span across a vast nationwide network in Malaysia, strengthened with an expanding regional presence in Singapore, Hong Kong, Vietnam, Cambodia, and China. We seek to strike a balance between diversity, inclusion and merit to achieve our mission of infusing diversity in thinking and skillsets into our organisation. Candidates are assessed based on merit and potential, in line with our mission to attract and recruit the best talent available. Expanding on our “Digital at the Core” ethos, we are progressively digitising the employee journey and experience to provide a strong foundation for our people to drive life-long learning, achieve their career aspirations and grow talent from within our organisation. Realise your full potential at Hong Leong Bank by applying now.