Develop and maintain systems according to standard of the department
Conduct ad-hoc data analysis
Support Risk Data reporting and analysis
Prepare and update documentation for systems
Work with Operations staff to ensure the quality and availability of production application systems
Responsible for building analytical and scientific solutions to help solving business issues with providing timely, accurate and actionable insights
Assist supervisor to formulate company-wise data strategy that advocating a culture of data-driven decision-making and exploring new data initiatives for long term development
Support data democratization in the company; dashboard development and skill transfer
Support the implementation of different metadata applications in Cloud platform
Use EWM for version control to manage projects and work with data scientists and engineers
Build Confluence pages, data dictionaries, and metadata for technical documentation
Implement analytical models into production by collaborating with software developers and machine learning engineers
Utilize data visualizations to present findings and insights that can have the risk control
Requirements
University graduate in Computer Science or equivalent
Minimum of 6 years of solid experience in data analytics and/or related industries with at least 3 years in data science/ cloud platform
Solid experience in Unix script and SQL/PLSQL Programming in Oracle DB
Solid experience in key machine learning and big data cloud platform, e.g. Microsoft Azure ML Services & Data Warehouse, AWS SageMaker & Redshift, Google ML and BigQuery, etc
Experience in common data science languages/toolkits, such as Python, SQL, R, Scala, Apache Spark, Keras, etc., to manipulate data and draw insights from large data sets is desirable
Experience in data architectures and in data visualization BI tools, such as Tableau, PowerBI, Cognos, etc.
Experience in working with large-scale data sets and complex data models
Exposure in Bank Risk Management and Data Warehouse is an added advantage
High curiosity for data discovery
Strong communication and presentations skills to convey complex findings to technical and non-technical stakeholders
Able to work independently with limited supervision and also work well with team
Self-motivated and able to take initiative and multitask
Technology, Development, Development/Programming, Data management
The Hong Kong Talent Engage website contains job vacancies information from external sources and relevant links as a convenience to our users, and is not responsible for the content of these sites.
Open the WeChat app and scan the QR code below to follow the official account of Hong Kong Talent Engage, or search "人才服务办公室" in the WeChat app to find us.