Under the TEDA Programme, you will be working on the below initiative:
Trading is an important operation in MAS reserve management function. Analysing, presenting and learning from transaction data will is crucial for enhance the efficiency and precision of the daily trading operations. Data science contributes to the re-design and streamlining implementation of the existing data system and infrastructure supporting the heavily data-reliant oriented tasks/workflows in the trading and investment teams. We welcome a fresh data scientist to join the data science team contributing to the mentioned initiative.

1. (Data Science) Data Quality
2. Exploration Analysis
3. Data Storytelling

1. Agile Methodologies, Tools & Delivery
2. Backend Engineering
3. Cloud Application Engineering
4. DevOps Methodologies

Under the TEDA Programme, you will be working on the below initiative:
AI-based document understanding in Chinese language will provide precious insights on issues which are less of a focus for the mainstream media. The recent large language models broke new grounds in language understanding. The impacts are greatly felt for use cases involving English language, and natural language processing in Chinese still remains less straight-forward and less explored/developed, be it in data or algorithm. We like to set up the data science system and infrastructure supporting AI-based document understanding in Chinese language in MAS, which will enable better surveillance and in-depth analysis of economic and market developments in China. We welcome a fresh data scientist to join the data science team contributing to the mentioned initiative.

1. (Data Science) Data Quality
2. Exploration Analysis
3. Data Storytelling

1. Agile Methodologies, Tools & Delivery
2. Backend Engineering
3. DevOps Methodologies

Under the TEDA Programme, you will be part of the Data Analytics team responsible to implement analytics using quantitative and qualitative inputs and design dashboards to present the outcomes of the analysis.

1. Machine Learning
2. Scripting
3. Charts & Dashboards
4. Exploration Analysis
5. Frontend Design

1. Business Analysis
2. Product Life Cycle Management
3. Performance Testing

Under the TEDA Programme, you will work with the Data Management Team (DMT) and internal stakeholders, such as Technology Group and banking supervisory teams, to design data platforms & architecture for collection, storage, transformation and analysis, with focus on data integration. The end goal is to support development of data solutions across the data life-cycle to underpin better data-driven banking supervision.

Along with DMT members, and in consultation/collaboration with Technology Group’s Data Collection Platform Division (DCP), and banking supervisors (as needed), perform the following tasks:
- Understand from banking supervisors their data analysis needs and integrate relevant datasets to support such analysis.
- Upgrade and maintain existing analytical solutions such as dashboards and reports, or create new solutions where needed.
- Develop, test and deploy the new features/feature enhancements on enterprise systems and/or other environments as needed.
- Review with supervisory teams to assess performance of the features/solutions and fine-tune as needed, iteratively.

As a member of the DMT team, you will work with the team to perform the tasks in accordance with the broader project timelines and milestones. 

1. Charts & Dashboards
2. Scripting
3. Visual Analytics Principles

1. Business Analysis
2. Data Quality - Policy
3. Data Collection
4. Data Systems Architecture
5. Project Management

Under the TEDA Programme, you will work with the Data Management Team (DMT) and internal stakeholders, such as Technology Group and banking supervisory teams, to design data platforms & architecture for collection, storage, transformation and analysis, with focus on data ingestion. The end goal is to support development of data solutions across the data life-cycle to underpin better data-driven banking supervision.

Along with DMT members, and in consultation/collaboration with Technology Group’s Data Collection Platform Division (DCP), and banking supervisors (as needed), perform the following tasks:
- Discuss with banking supervisors to understand their data collection needs in achieving supervisory goals, while taking into account downstream data ingestion capabilities.
- Upgrade and maintain existing analytical solutions such as dashboards and reports, or create new solutions where needed.
- Develop, test and deploy the new features/feature enhancements on enterprise systems and/or other environments as needed.
- Review with supervisory teams to assess performance of the features/solutions and fine-tune as needed, iteratively.

As a member of the DMT team, you will work with the team to perform the tasks in accordance with the broader project timelines and milestones. 

1. Charts & Dashboards
2. Scripting
3. Visual Analytics Principles

1. Business Analysis
2. Data Quality - Policy
3. Data Collection
4. Data Systems Architecture
5. Project Management

Under the TEDA Programme, you will work with the SSA team and internal stakeholders such as Technology Group and supervisory teams, to design and implement data engineering solutions/products. The end goal is to help build up the data-mart(s) for the financial supervision group. 

Along with SSA team members, and in consultation/collaboration with Technology Group’s Data Collection Platform Division (DCP), and financial supervisors (as needed), perform the following tasks:
- Stand up new production database(s) that would be used to house regulatory returns and survey data for FSG/CMG.
- Fine-tune and implement TG’s data ingestion framework to execute the Extract, Transform and Load (ETL) tasks needed to extract data from individual surveys, and load these into the new production database (raw). 
- Design and implement as needed, processes to clean these respective datasets and load the cleaned data into another new production database (clean).
- Work with TG/DCP Div on the approach and implementation to develop data universes within SAP BI 4.1 for management reporting purposes.
- Design, build, test and deploy data models using object oriented programming concepts, that would form a data integration layer supporting suptech development. 

As a member of the SSA team, you will work with the team to perform the tasks in accordance with the broader product timelines and milestones. 

1. Data pipeline setup
2. Scripting

1. Data Quality - Technical
2. Data Quality - Policy
3. Data Systems Architecture