Collections Intern: Data, Automation & Process Improvement

Funding Societies | Modalku Group; Singapore; On-site; SGD 20,000 - 27,000; Full time

Benefits offered by this job

Flexible working

Mental health support

Company laptop provided

Job summary

Funding Societies | Modalku is the leading SME digital financing platform in Southeast Asia. The role focuses on collections operations, data handling and process automation, supporting daily monitoring and data reconciliation tasks.

We welcome Diploma or Degree students in Business, Finance, Accounting, IS, or Data Analytics who are eager to learn, work independently with guidance, and contribute to process improvements. Flexible working and tech support are provided.

Qualifications

• Experience with Excel or Google Sheets for data handling.
• Interest in automation, data analytics or AI tools is a plus.
• Strong attention to detail and organisational skills.

Responsibilities

• Add and update borrower and guarantor information in Command Center and QuestNet.
• Monitor QuestNet daily alerts, maintain POD trackers, and provide timely updates to stakeholders.
• Support the preparation, maintenance and reconciliation of collections data, trackers and operational reports.
• Identify opportunities to streamline collections processes and assist in automation efforts.
• Test, validate and document new automation workflows and AI tools.
• Maintain Collections SOPs and data quality.
• Provide general administrative and operational support to the Collections team and complete ad-hoc projects.

Skills

Excel/Sheets

Data analytics interest

Attention to detail

Education

Diploma/Degree in Business, Finance, Accounting, Information Systems or Data Analytics

Tools

Command Center

QuestNet

Job description

Funding Societies | Modalku is the leading SME digital financing platform in Southeast Asia. The role focuses on collections operations, data handling and process automation, supporting daily monitoring and data reconciliation tasks.

We welcome Diploma or Degree students in Business, Finance, Accounting, IS, or Data Analytics who are eager to learn, work independently with guidance, and contribute to process improvements. Flexible working and tech support are provided.