UAT Tester (Python) (JD#11390)

Sciente International Pte Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

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

Job Summary

This role supports Loan Origination System (LOS) projects, with a focus on system testing, UAT preparation, credit rule configuration, and defect management. The role requires strong analytical and troubleshooting skills, effective stakeholder collaboration, and hands-on proficiency in Python to support testing activities and batch test automation.

Mandatory Skill‑set

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

Desired Skill‑set

• Experience with FICO Blaze Advisor Rule Management System or Accelq automation testing tools;
• Familiarity with credit risk rules or banking workflow processes;
• Experience in UAT testing for Loan Origination Systems (LOS), including parameter setup and workflow validation.

Responsibilities

• Collaborate closely with internal stakeholders on Loan Origination System projects, focusing on system testing, credit rule configuration, and test pool preparation for unit testing;
• Support User Acceptance Testing (UAT) by addressing user and 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;
• Work with IT teams and stakeholders to ensure timely delivery of projects;
• Manage and track UAT defects, ensuring timely resolution and effective communication with relevant parties.

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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

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