Head, Data Analytics & AI

Company Description

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.

Job Description

To develop either Business Unit/Corporate Function analytics strategies and framework(s) aligned to Standard Bank Group data and business strategies.  To lead and manage a team across a variety of data, processing capabilities and technologies in order to deliver high quality analytics that provide model and customer decision strategies.  To be responsible for the time, cost and quality of projects delivered by the team, according to the model risk policy and deployed into operational processes.

Qualifications

• Type of Qualification: Masters Degree
• Field of Study: Mathematical Sciences
• Type of Qualification: Post Graduate Degree
• Field of Study: Mathematical Sciences
• Experience Required

5-7 years 
Fluency in data analysis tools, techniques, and visualisations (for e.g. Advanced Excel, Looker, Tableau, etc).  Proven experience in combining complex data signals and campaign results into actionable insights and recommendations.  Proficiency in performing statistical analysis in SAS/R/Python for purposes of guiding and overseeing Business Analytics work.
5-7 years 
Proven track record for success in leading advanced analytics teams and building out best-in-class capabilities.
8-10 years
Proven track record for success in leading advanced analytics teams and building out best-in-class capabilities.  Experience creating business value from data analysis.

Additional Information

Behavioural Competencies:

• Empowering Individuals
• Establishing Rapport
• Generating Ideas
• Inviting Feedback
• Making Decisions
• Providing Insights
• Resolving Conflict
• Showing Composure

Technical Competencies:

• Machine Learning and Deep Learning
• Data Visualization
• Big Data Technologies
• Natural Language Processing (NLP)
• Cloud Computing
• Data Engineering
• AI Ethics and Fairness
• Predictive Analytics
• Real-time Data Processing
• Automated Decision-Making
• Customer Insights and Personalization
• Operational Efficiency
• Risk Management
• Innovation and Research