Manager: Data Services

Location: ZA, GP, Johannesburg, Baker Street 30
Oversee data mining techniques and conduct statistical analysis on large, structured and unstructured data sets to understand and analyze phenomena. Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning, and visualization techniques. Work closely with clients, data, and technology teams to turn data into critical information used to make sound business decisions. Oversee predictive modeling.
QualificationsMinimum Qualifications Post Graduate Degree in Information Technology or Information StudiesProficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, Teradata, QlikView; Tableau, Python, C#, Java, C++, HTMLMasters Degree is preferred8-10 years of proven development experience in software and software engineering. Up to date with developments in the IA field. Experience in technical business intelligence; in-depth understanding of the bank's data processes, systems, and products. Knowledge of IT infrastructure and data principles that form the basis for data quality management. Project management experience. Exposure to governance and regulatory matters as it relates to data. Experience in building models (credit scoring, propensity models, churn, etc.)8-10 years of 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.
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