Business Segment: Business & Commercial BankingLocation: ZA, GP, Johannesburg, Baker Street 30Apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling.QualificationsInformation Studies or Information Technology DegreeProficiency in application and web developmentStructured and Unstructured Query languages e.g. SQL, Qlikview; Tableau; SSIS SSRS, Python JSON, C#, Java, C++, HTMLExperience5-7 years proven development experience in software and software engineeringExperience in technical business intelligence and project managementExposure to governance and regulatory matters as it relates to dataExperience in building models (credit scoring, propensity models, churn, etc.)5-7 years experience in working with unstructured data (e.g. Streams, images)Experience with data visualisation tools, such as Power BI, Tableau, etc.Experience with common data science toolkits, such as SAS, R, SPSS, etc.Additional InformationAdopting Practical ApproachesArticulating InformationChallenging IdeasExamining InformationUnderstanding of financial services data processes, systems, and productsKnowledge of IT infrastructure and data principlesUnderstanding of data flows, data architecture, ETL and processing of structured and unstructured dataUsing data mining to discover new patterns from large datasetsImplement standard and proprietary algorithms for handling and processing data
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