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Job Description To automate and optimise data processing pipelines that are used in credit risk MIS. To support User Acceptance Testing for implementation of new scorecards and reports for lending portfolio’s application system. Job Requirements Degree with good amount of quantitative content preferred Good quantitative analytics skills Good familiarity with the use of programming/scripting languages (e.g., SAS, SQL, Python) to perform data analysis and manipulation Good written communication skills Ability to multi-task and to work independently Willing to take on new challenges and work in a fast-paced environment Preferably with a minimum of 3 years working experience in credit portfolio risk analytics and building automated data pipelines. #J-18808-Ljbffr