UAT Tester (Python) - LOS & Credit Rules

Sciente International Pte Ltd

Singapore

On-site

SGD 60,000 - 90,000

Full time

12 days ago

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Job summary

Sciente International Pte Ltd is seeking a testing-focused engineer to support Loan Origination System (LOS) projects in Singapore. The role emphasizes system testing, UAT preparation, credit rule configuration, and defect management, with hands-on Python for test automation.

Ideal candidates have a computer science or engineering background, are analytical, able to work independently, and proficient with Excel, Word and PowerPoint. Experience with LOS UAT and rule engines is a plus.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
  • Experience in system testing and/or UAT testing.
  • Proficiency in Python programming.
  • Strong analytical and problem‑solving skills.
  • Ability to work independently with minimal supervision and manage multiple tasks.
  • Proficiency in Microsoft Excel, Word, and PowerPoint.

Responsibilities

  • Collaborate with stakeholders on LOS projects focusing on system testing and test pool preparation for unit testing.
  • Support UAT by addressing user/IT queries related to credit rule configuration.
  • Configure and support the in‑house batch testing tool for UAT.
  • Apply Python programming to support testing and related activities.
  • Coordinate with IT teams to ensure timely project delivery.
  • Track UAT defects and communicate resolutions to stakeholders.

Skills

System testing
Python programming
Analytical thinking
Independent work
Multi-tasking

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

Excel
Word
PowerPoint

Job description

Sciente International Pte Ltd is seeking a testing-focused engineer to support Loan Origination System (LOS) projects in Singapore. The role emphasizes system testing, UAT preparation, credit rule configuration, and defect management, with hands-on Python for test automation.

Ideal candidates have a computer science or engineering background, are analytical, able to work independently, and proficient with Excel, Word and PowerPoint. Experience with LOS UAT and rule engines is a plus.

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