Python Developer & System Testing (JD#11339)

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Описание

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 [email] 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 ([link] Confidentiality is assured, and only shortlisted candidates will be notified for interviews. EA Licence No. 07C5639

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