UAT Tester (Python)

SCIENTE; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

SCIENTE is seeking a hands-on tester for Loan Origination System (LOS) projects in Singapore. You will contribute to system testing, UAT preparation, credit rule configuration, and defect tracking, applying Python to support testing activities and batch test automation.

You will collaborate with IT and business stakeholders to ensure timely delivery, manage UAT defects, and support an in-house batch testing tool. A disciplined, independent worker with strong problem-solving is preferred.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a 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, credit rule configuration, and test pool preparation for unit testing.
• Support 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.

Skills

Python programming

System testing

UAT testing

Analytical skills

Independent worker

MS Office

Education

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

Tools

FICO Blaze Advisor

AccelQ

Job description

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.

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