Python Developer & System Testing (JD#11339)

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 protected] 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 (https://www.sciente.com/privacy-policy). Confidentiality is assured, and only shortlisted candidates will be notified for interviews. EA Licence No. 07C5639