Establish and maintain data ETL pipeline, conduct data cleansing and labelling
Experiment on end-to-end Machine Learn models for data analytic purpose
Deliver data analysis services and report to business users
Provide proof-of-concept solutions for production releases
Ad-hoc tasks assigned by team lead
Renowned Global Banking Group
Exposure to Advanced Data Solutions
Bachelor's degree or above in Computer Science, Statistics, Business Administration, or related disciplines
At least 3 years of experience in Python and SQL coding
Previous exposure in banking or insurance environment is highly valued
Solid understanding and hands-on experience with cloud platform tools, such as AWS, MS Azure, Google Cloud
Proficient in English communication, both in written and spoken
Eligible to work in Hong Kong
Our client is a well-known listed bank with strong business focus in Hong Kong. With more than 100 years of history operating in major financial hubs, this bank has continued to provide top-notch services to their clients globally. Their offerings include retail banking, private banking, commercial banking, treasury services as well as wealth management.
They are looking for multiple Data Analysts/ Data Scientist to join the team. The successful candidates will work with different stakeholders of the company and provide relevant data solutions to drive business changes. Candidates must have strong knowledge in Python and SQL, along with knowledge in Machine Learning models. Fluency in English communication is mandatory.
Career Progression in Banking
Exposure to Various Banking Teams
Experience in Machine Learning Projects
Advanced Data Solution Technologies
Dynamic and Diversified Working Environment
Generous Balance of Annual Leaves
Convenient Working Location
Our client is a well-known listed bank with strong business focus in Hong Kong. They are looking for multiple Data Analysts/ Data Scientist to join the team. The successful candidates will work with different stakeholders of the company and provide relevant data solutions to drive business changes.