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Test Analyst UAT & Loan Origination (JD#10698)

SCIENTE INTERNATIONAL PTE. LTD.

Singapore

On-site

SGD 60,000 - 80,000

Full time

Today
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Job summary

A financial services provider in Singapore is seeking a candidate to support Loan Origination System projects. The role requires strong analytical skills, proficiency in Python, and the ability to manage UAT testing and defect management. The successful applicant will work closely with stakeholders and IT teams, ensuring timely project milestones and clear communication. Candidates should possess a Bachelor’s in a relevant field and be comfortable in fast-paced work environments. Proficiency in Chinese and/or Cantonese is a plus.

Qualifications

  • Experience in UAT testing for Loan Origination Systems, including parameter setup and workflow validation.
  • 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.
  • 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.
  • Manage, track, and follow up on UAT defects for resolution.

Skills

Analytical skills
Problem-solving skills
Proficiency in Python
Ability to work independently
Proficiency in Microsoft Excel
Proficiency in Microsoft Word
Proficiency in Microsoft PowerPoint
Multitasking ability

Education

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

Tools

FICO Blaze Advisor
Accelq automation testing tools
Job description
Job Summary

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-set
  • 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.
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;
  • 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).

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website.

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

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