Job OverviewBusiness Segment: Personal & Private BankingLocation: ZA, GP, Johannesburg, Baker Street 30Job Type: Full-timeJob Ref ID: 80391883A-0001Date Posted: 10/21/2024Job DescriptionApply 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.QualificationsCompleted MatricInformation Studies DegreeInformation Technology DegreeCertifications or professional memberships - Proficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, Qlikview; Tableau; SSIS SSRS, Python JSON, C#, Java, C++, HTML.Experience5 - 7 years Proven development experience in software and software engineering. Understanding of financial services data processes, systems, and products. Experience in technical business intelligence. Knowledge of IT infrastructure and data principles. Project management experience. Exposure to governance and regulatory matters as it relates to data. Experience in building models (credit scoring, propensity models, churn, etc.).5 - 7 years' Experience in working with unstructured data (e.g. Streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data. Experience with common data science toolkits, such as SAS, R, SPSS, etc. Experience with data visualization tools, such as Power BI, Tableau, etc.Behavioral CompetenciesAdopting Practical ApproachesArticulating InformationChallenging IdeasChecking DetailsExamining InformationTechnical CompetenciesData AnalysisData IntegrityDatabase AdministrationKnowledge ClassificationResearch & Information GatheringPlease note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any form of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or ******
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