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 ************* at the earliest.
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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
EA License No. 07C5639