Quantitative Analyst

An industry leading Bank has an exciting opportunity available for a Decision Scientist in the Credit to join their dynamic team.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 within the Credit spaceExperience must include the following (within the Retail Credit Risk Management Environment):Extracting and Aggregating Data from Large Relational DatabasesData Mining and Predictive ModellingQualifications (Minimum)Honours Degree in Data Science or MathematicsQualifications (Ideal or Preferred)Master's Degree in Data Science or MathematicsKnowledgeAnalyticsPredictive 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 constraintsSkillsCommunications SkillsNumerical Reasoning skillsAnalytical SkillsReporting SkillsComputer Literacy (MS Word, MS Excel, MS Outlook)Attention to DetailSAS SkillsSQL SkillsR skillsPython skillsInterpersonal & Relationship management SkillsCommercial Thinking SkillsLeadership Skills
#J-18808-Ljbffr