Under the TEDA Programme, you will be supporting the analytics work to enhance MAS’ ongoing surveillance and supervision of the fund management industry in Singapore. You will be responsible for supporting key projects such as MAS’ Fund Data Collection Project and MAS’ Fund Management Risk Assessment and Analysis, as well as supporting day-to-day data/analytical needs of the department as necessary. During the programme, you will have the opportunities to work closely with internal stakeholders (e.g. MAS’ supervisory teams, analytics team) and external stakeholders (e.g. vendors, FIs) to ensure that deliverables are achieved and to troubleshoot issues.

1. Project Management
2. Charts & Dashboards
3. Data Storytelling

1. Business Analysis
2. Exploration Analysis
3. (Data Management) Data Quality - Technical 
4. (Data Science) Data Quality 
5. Scripting

Under the TEDA Programme, you will be part of the Statistics and Library Division.

Summary: To streamline the data collection process and identify a suitable data collection platform from the market that can be used for collection of data for surveys administered by MAS. This includes assessing that the platform is compatible with current IT systems, and conforms to the industry standards for exchange of statistical data and metadata. Candidate will also need to work with various stakeholders such as business users, IT consultants to operationalise the selected platform.  

Objective: To streamline the data collection process, improve user experience for survey respondents, and ensure that our data collection methods conforms to the industry standards for exchange of statistical data and metadata.

1. Data Architecture
2. Business Analysis

1. Data Collection
2. Service Design

Under the TEDA Programme, you will be part of the Data Analytics team in the Financial Centre Development Department. You will partner other teams to enhance their capabilities to collect, manage, and analyse primary and secondary data, to support MAS’ ongoing financial centre development work.

1. (Data Management) Data Quality - Technical 
2. Exploration Analysis

1. (Data Management) Data Quality - Policy 
2. Data Governance
3. Data Strategy
4. Data Storytelling
5. Charts & Dashboards

Under the TEDA Programme, you will be part of a team that develops dashboards and analytics based on regulatory submissions provided by trading platforms and financial market infrastructure providers licensed by MAS. The dashboards and analytics will be used to enhance MAS's ongoing monitoring and supervisory oversight over the financial markets and licensed entities.

1. (Data Management) Data Quality - Technical 
2. Data Collection

1. Data Pipeline Setup
2. Data Governance
3. Data Storytelling
4. Personal Data Protection

Under the TEDA Programme, you will be part of MAS' transformation, we want to improve the lives of MAS employees. We are looking at applying data analytics to improve employees satisfaction and experiences with digital services in MAS.

You will work with the team managing the employee outcomes to collate and analyse the data to generate data insights identifying emerging topics and trends, issues faced by users. From the data insights, you will partner with the respective stakeholders to ideate areas and approach on how to address the issue/pain-points or areas for improvement.

1. Charts & Dashboards
2. Visual Analytics Principles

1. (Data Science) Data Quality 
2. Data Collection
3. Data Pipeline Setup
4. Data Storytelling
5. Exploration Analysis

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. 

1. Charts & Dashboards
2. Scripting

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

Under the TEDA programme, you will be part of the team responsible to streamline data processes as well as formulate dashboards and analytics for investment risk and performance metrics, to enhance and support the investment risk and performance analysis and management of MAS' foreign reserves portfolio.

1. Scripting
2. Data Systems Integration
3. Data Pipeline Setup
4. Charts & Dashboards
5. Business Development & Needs Analysis

1. Data Architecture
2. Data Storytelling
3. Visual Analytics Principles
4. Business Analysis
5. Platform Design & Management

Under the TEDA Programme, you will work with the Tech Products team working on MAS-FI Transaction Platform. The MAS-FI Transactions Platform is a single touchpoint for FIs when interacting with the MAS. There are 2 squads looking at different products: 
- Dashboard for FIs to manage all their ongoing inspection, supervisory, and grant-related submissions and discussions with MAS; and  
- Dashboard for MAS officers to process FI submissions more efficiently 

Data analyst. Candidate will work closely with product manager to identify metrics to measure performance of product and design data collection, processing, and visualisation for day to day monitoring of metrics. Can be degree or diploma holder but must be familiar with Tableau.

What you can expect to do on a day-to-day basis:
- Work with engineers and product manager to propose how to measure success metrics 
- Work with engineers to design and develop easy means to collect usage data needed to track KPIs 
- Build automated data cleaning scripts to prep the data for analysis 
- Build dashboards to allow all team members to monitor KPIs 
- Develop and oversee process to gather and process customer feedback data for analysis 
- Where particularly suited, propose and run POCs for AI/ML solutions 
- Generate reports for audit purposes 

1. Business Analysis 
2. Data Quality – Technical 
3. Charts & Dashboards 
4. Scripting 
5. Statistical Techniques 

1. Market & Industry Knowledge 
2. Data Collection 
3. Data Storytelling 
4. Visual Analytics Principles