Data Scientist - Personal Financial Services Credit

If you are looking to excel and make a difference, take a closer look at us…

• To establish and enhance data requirements (including exploration of various non-traditional data sources), data repository architecture, data preparation, software and tools acceptable within the Bank’s digital environment.
• Part of the enabler team to develop and identify new data source, create use case and publishing the analytics content
• Perform data analytics, including predictive analytics or machine learning analytics to identify trends/ risk characteristics/ insights of a particular customer segment, portfolio or specific program
• Develop credit strategies/ policies/ test programs/ tactical programs/ cross-sell strategies based on the data insights to mitigate credit risk and capitalize on opportunities for Business. 
• Assisting in identifying, designing documentation and maintaining the required structure, resources and responsible for ongoing Data Governance
• Productionize and automate feature engineering efforts in machine learning pipelines to ensure the level of robust prediction model over times
• Support ad-hoc tasks or projects assigned from time to time
• General / Advance knowledge in Cloud Computing platform like Google Cloud analytic platform

Education/Qualification

• A degree in business administration in either of Finance, Business, Economics, Actuarial Science/ Mathematics/ Statistics or any related fields
• Programming knowledge in Python Pandas, SQL, SAS, R.
• Good knowledge on statistical techniques and concepts like regression, statistical tests.
• Good knowledge on exploratory data analysis, feature engineering, application of common machine learning algorithms like K-Nearest Neighbors, Logistic Regression, Decision Trees, Neural Networks.
• General knowledge on data visualization in Tableau, Python Plotly
• General knowledge on Cloud Computing Service platforms like GCP, AWS

Experience

• Exposure to any machine learning, programming (Python Pandas, SQL, SAS, R)
• General knowledge in Cloud Computing platform like Google Cloud analytic platform
• Any A.I. or modelling projects
• SQL and Data engineering

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.