Financing Eco-system Traineeship GRIT@GOV

7 days ago

Bugis, Singapore ESG Enterprise Singapore Full time $40,000 - $80,000 per year

[What the role is]

We are looking for a Associate to support projects in data analytics, technology exploration and system enhancements. This role offers exposure to applying digital solutions and analytics in the SME financing space, while equipping the Associate with practical skills for future career opportunities.

[What you will be working on]

  • Support the development of Traffic Light Indicators for SME credit lending through data analysis.

  • Research and develop early warning indicators for stress in the lending landscape.

  • Conduct comparative analysis of international methodologies and assess local data availability.
  • Design data collection processes and establish regular updating mechanisms for continuous monitoring.

  • Assist in systems testing, contribute to user experience by gathering feedback and recommend improvements.

  • Perform comprehensive testing of system enhancements to ensure functionality and reliability.

  • Document testing results, identify system issues, and provide detailed feedback on usability.
  • Collaborate with development teams to validate that system improvements meet operational requirements.
  • Contribute to quality assurance processes and user acceptance testing.

  • Provide support in AI implementation projects, including workflow automation and data processing.

  • Evaluate AI-powered OCR tools for document processing and data extraction to improve operational efficiency.

  • Support AI implementation projects and workflow automation initiatives.

[What we are looking for]

Learning Outcomes

  • Exposure to data analytics tools and process automation methodologies.
  • Introduction to digital transformation initiatives within government agencies.
  • Familiarity with systems testing, user experience evaluation, and AI applications.
  • Development of foundational problem-solving, collaboration, and communication skills.

Requirements

  • Interest in data analytics, technology, and digital solutions.
  • Basic knowledge of data tools (e.g., Excel, Python, SQL) will be an advantage.
  • Strong analytical mindset, curiosity to learn, and a can-do attitude

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