This role supports Loan Origination System (LOS) projects through credit rule configuration, UAT preparation, and defect management; It requires strong analytical skills, effective stakeholder collaboration, troubleshooting ability, and proficiency in Python.
Mandatory Skill(s)
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field;
- Experience in UAT testing for Loan Origination Systems, including parameter setup and workflow validation;
- Strong analytical and problem-solving skills;
- Ability to work independently with minimal supervision and multitask effectively;
- Proficiency in Python programming;
- Proficiency in Microsoft Excel, Word, and PowerPoint.
Desirable Skill(s)
- Experience with FICO Blaze Advisor Rule Management System or Accelq automation testing tools;
- Familiarity with credit risk rules or banking workflow processes;
- Comfort working in fast-paced environments and willingness to take on new challenges.
Responsibilities
- Collaborate with internal stakeholders on Loan Origination System projects, especially in configuring credit rules and preparing test pools for unit testing;
- Support and attend to user and IT inquiries related to credit rule configuration during UAT;
- Assist in configuring an in-house batch testing tool for UAT execution;
- Work closely with IT teams and stakeholders to ensure timely project milestones and deliverables;
- Manage, track, and follow up on UAT defects to ensure prompt resolution and clear communication;
- Proficiency in Chinese and/or Cantonese to collaborate with regional teams in Greater China;
- Ensure project documentation and reports are updated accurately (Excel/PowerPoint).
If you are interested in this role, click on the “Apply to this job” button below or you could also write in with your CV to Dharshini Kumar at Dharshini.K@sciente.com quoting the job title.
