- Perform system analysis functions
- 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
- 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
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描述
Responsibilities
Requirements
