Senior Decision Scientist

Purpose StatementDelivering business solutions via a collaborative approach involving mathematical formulae, business tactics, technological applications and behavioural sciences to help senior management make data driven decisions. Experience3 years relevant experience in statistical analysisExperience must include the following (within the Retail Credit Risk Management Environment):Extracting and Aggregating Data from Large Relational DatabasesData Mining and Predictive Modelling Qualifications (Minimum)Honours Degree in Data Science or Mathematics Qualifications (Ideal or Preferred)Masters Degree in Data Science or Mathematics KnowledgeAnalyticsPredictive Modelling and Machine LearningProject management methodologiesIT implementation cycleCredit cycleTechnical understanding and knowledge (different operating systems / databases /programming languages)General business acumen to identify the impact technical issues may have on design and delivery of solutions.Best practices and tools in credit riskInterpretation of user requirements and translation into business requirements specificationsRetail credit environment / industryConfidentiality and intellectual property implications and constraintsInterpretation of user requirementsTranslation of business requirements into business requirement specifications SkillsCommunications SkillsNumerical Reasoning skillsAnalytical SkillsReporting SkillsComputer Literacy (MS Word, MS Excel, MS Outlook)Attention to DetailSAS SkillsSQL SkillsR skillsPython skillsInterpersonal & Relationship management SkillsCommercial Thinking SkillsLeadership SkillsConditions of EmploymentClear criminal and credit recordShould you not receive a response from us within one week of your application, your application has unfortunately not been successful.