Analytics

Job Title: AnalyticsTerm: 12 monthsLocation: Jeddah, KSADivision: Banking & TechnologyRelevant experience: 10 years+ in a similar role, ideally with financial servicesMandatory requirements: Python, R, SAS programming language (SAS 9.4)PURPOSE OF JOBRole of data scientistTASKSCore Responsibilities And Accountabilities1. Non-technical Strong communication skills and ability to present findings to client stakeholdersExperience in Financial Services, Banking & card payments Industry is a plusCollaborate with cross-functional teams to understand business requirementsDocument all steps in the development process2. Technical Advanced knowledge of statistical analysis and machine learningHighly Proficient in SAS programming language (SAS 9.4)Proficient in other Data Science programming languages (e.g. Python, R)Develop, test, implement, and maintain predictive modelsSegmentation, customer lifetime valueIdentify opportunities to innovatively use data/ extract insights from complex data sets3. Cultural Fit Owning the outcome (ownership)Being driven/passionate in analyticsProblem solving mindset, challenging the status quoSelf-organizing, independent and takes ownership of each taskMeticulous to detailThrive under pressureKPIs: Time to deployment & value identified/realized/recommended from different use cases.Model accuracy (e.g., RMSE, MAE for regression tasks)Number of business problems addressedResponsiveness to business questions/problems/requestsNumber of departments/business users supported/adopted the solution Stakeholder Satisfaction: The level of satisfaction of stakeholders with the reports and insights provided.Collaboration Effectiveness: The effectiveness of collaboration with cross-functional teams, measured through the quality of insights extracted.Data Security Compliance: Compliance with data security protocols and regulationsKnowledge And Experience 10years + in a similar role, ideally with financial servicesSkills Advanced knowledge of statistical analysis and machine learningHighly Proficient in SAS programming language (SAS 9.4)Proficient in other Data Science programming languages (e.g. Python, R)Strong communication skills and ability to present findings to senior stakeholders (non-technical)