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.

Should you be interested in this career opportunity, please send in your updated resume to [Confidential Information] at the earliest.

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

EA Licence No. 07C5639