Business Segment: Business & Commercial Banking
Location: ZA, GP, Johannesburg, Baker Street 30
Apply 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.
Qualifications
- Information Studies or Information Technology Degree
- Proficiency in application and web development
- Structured and Unstructured Query languages e.g. SQL, Qlikview; Tableau; SSIS SSRS, Python JSON, C#, Java, C++, HTML
Experience
- 5-7 years proven development experience in software and software engineering
- Experience in technical business intelligence and project management
- 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)
- Experience with data visualisation tools, such as Power BI, Tableau, etc.
- Experience with common data science toolkits, such as SAS, R, SPSS, etc.
Additional Information
- Adopting Practical Approaches
- Articulating Information
- Challenging Ideas
- Examining Information
- Understanding of financial services data processes, systems, and products
- Knowledge of IT infrastructure and data principles
- 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
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