Python Developer & System Testing

SCIENTE; Singapore; Presencial; SGD 60 000 - 90 000; Tempo integral

Resumo da oferta

SCIENTE in Singapore seeks an analytical tester to support Loan Origination System (LOS) projects, focusing on system testing, UAT preparation, credit rule configuration, and defect management, with hands-on Python for testing and batch test automation.

Collaborate with IT and stakeholders, configure the UAT batch tool, and track defects to ensure timely resolution. A Bachelor's degree and testing experience are required.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python programming

System testing/UAT

Analytical skills

Independent work

Formação académica

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

Ferramentas

Microsoft Office (Excel, Word, PowerPoint)

Descrição da oferta de emprego

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.

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