Python Developer & Test Analyst (JD#11339)

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

Job summary

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

The candidate should have strong analytical and troubleshooting abilities, effective collaboration with stakeholders, and the capacity to manage multiple tasks independently while using Excel, Word, and PowerPoint to

Qualifications

• Bachelor’s degree in CS, engineering, math, or related field.

Responsibilities

• Collaborate with internal stakeholders on LOS projects, focusing on system testing, credit rule configuration, and test pool prep for unit testing.
• Support UAT by addressing user and IT queries related to credit rule configuration.
• Configure and support in-house batch testing tool for UAT.
• Apply Python programming to support testing and related activities.
• Work with IT teams to ensure timely delivery of projects.
• Manage and track UAT defects with timely resolutions and clear communication.

Skills

System testing

Analytical thinking

Independent work

Stakeholder collaboration

Problem solving

Documentation

Education

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

Tools

Python

Excel

PowerPoint

Word

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.

EA Licence No. 07C5639