Business Segment: Personal&Private Banking Location: ZA, GP, Johannesburg, Baker Street 30 Build optimised, fit-for-purpose credit strategies for PPB AR. Apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse credit and other phenomena. Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with client, data, and technology teams to turn data into critical information used to make sound business decisions. Execute intelligent automation and predictive modelling. Build optimised Credit strategies. Qualifications First Degree in Mathematical Sciences/Information Studies Structured and Unstructured Query languages e.g. SQL, Qlikview; Tableau, Python, C#, Java, C++, HTML, SAS, Power BI, Power Apps Experience 5-7 years previous experience in managing a credit portfolio. Understanding of credit principles, processes, and systems. Exposure to analysing data and information in solving strategic credit problems. Analyst role within the PPB environment. Experience in analytical work, ideally in Credit Risk. Experience in building models (credit scoring, propensity models, churn, etc.) 3-5 years 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 visualisation tools, such as Power BI, Qlik, etc. #J-18808-Ljbffr