Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Oversee 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. Oversee predictive modelling.

Qualifications

• Information Technology Degree or similar
• Proficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, Teradata, Qlikview; Tableau, Python, C#, Java, C++, HTML

Experience

• 8-10 years Proven development experience in software/ software engineering
• 8-10 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
• Experience in technical business intelligence; in depth understanding of the banks data processes,systems and products
• Knowledge of IT infrastructure and data principles forming the basis for data quality management
• Project management experience
• The role does require travel into Africa

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information

Technical Competencies:

• Data Analysis
• Database Administration
• Data Integrity
• Knowledge Classification
• Research & Information Gathering