If you are looking to excel and make a difference, take a closer look at us…
Functional (job responsibilities)
Initiate and run analytics projects for the Personal Financial Services (PFS) units to drive sales, increase revenue via cross sell and up sell, improve customer retention and engagement, develop, and continuously improve customer segmentation using Advanced Data Analytics, Machine Learning, Artificial Intelligence, etc.
Embed the use of data analytics to assist business decision making. Eg. Sales and acquisition strategy, revenue generation through up sell and cross sell, etc.
Drive operational efficiency and effectiveness improvement in the team using innovation and technology. Eg. Stream lining processes, automating manual processes, campaign tracking, etc.
Managing data-driven projects from conception to completion, ensuring that they are completed on time, within budgets and meet the desired goals and objectives.
Working closely with stakeholders and decision-makers to understand the business requirements and develop data-driven solutions that address those needs.
Analyzing large and complex datasets, applying statistical and machine learning methods to extract meaningful insights and develop predictive models.
Creating clear and compelling data visualizations and reports to communicate findings and recommendations to the stakeholders and decision-makers.
Possessing excellent communication and interpersonal skills, with the ability to effectively communicate findings and recommendations to both technical and non-technical stakeholders.
Staying up-to-date with the latest data science tools and techniques, and continuously learning and improve skills to stay at the forefront of the field.
Play an active role in the overall bank and department AI strategy.
Managerial (team/group responsibilities)
Conduct code review and Provide mentorship to the junior data scientist to ensure that they have the skills and knowledge necessary to deliver high-quality solutions.
Organizational (organizational responsibilities)
To ensure alignment to the Division and Bank’s strategic intent and goals for the financial year.
Education/Qualification
Degree in Data Science, Actuarial Studies, Banking/Finance, Business, Marketing, Mathematics/Statistics, Market Research or related disciplines
Experience
Minimum 3 years’ experience in related field
Special Skills
Excellent understanding of and proficiency in SQL and Python. Capable of scripting in SQL and using tools like Tableau. Experience with a Gauss DB Solutions environment and SAS is an asset.
Modelling experience is a must. eg. Segmentation, propensity, etc .
Knowledge of banking products is an added advantage.
Creative thinker and able to identify innovative solutions to current environment
Strong project management skills, with the ability to lead data science projects from ideation to implementation.
Strong analytical and problem-solving skills, with the ability to analyze complex datasets and identify insights.
Strong communication and interpersonal skills, with the ability to effectively communicate findings and recommendations to both technical and non-technical stakeholders.
Familiarity with Google Cloud Platform (GCP) and its data science services (e.g., Vertex AI, BigQuery, Model Garden)
Experience with MLOps practices and tools
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.
Skills Required
- Degree in Data Science, Actuarial Studies, Banking/Finance, Business, Marketing, Mathematics/Statistics, Market Research or related disciplines
- Minimum 3 years' experience in related field
- Proficient in SQL and Python, capable of scripting in SQL
- Experience with Tableau and Gauss DB Solutions environment
- Modelling experience (e.g. Segmentation, propensity)
- Familiarity with Google Cloud Platform and its data science services
- Experience with MLOps practices and tools
What We Do
Hong Leong Bank Berhad is one of the leading financial services organisations in Malaysia. With a heritage of more than 100 years, it provides comprehensive financial services covering consumer banking, business banking and trade finance, treasury, branch and transaction banking, wealth management, private banking and Islamic financial services. Its merger with EON Bank Group in 2011 has further embedded its position as a core banking franchise with an expanded distribution network of more than 300 branches across the country. With a proven track record in value creation and a highly recognised brand, Hong Leong Bank has also been extending its footprint in the region, with branches in Singapore and Hong Kong and wholly owned subsidiaries in Vietnam and Cambodia. In China, the Bank has a 20% shareholding in Bank of Chengdu Co., Ltd., Sichuan and a consumer finance joint venture. Hong Leong Bank is a subsidiary of Hong Leong Financial Group Berhad, the financial services arm of the Hong Leong Group. Apart from banking, Hong Leong Financial Group is involved in the provision of insurance and takaful, as well as investment banking, unit trust, fund management and stock broking services
