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.

To lead the Insurance Insights function, develop, analyse and manage business reports, data models and algorithms in an accurate and timely manner to enable strategic and operational decision making.

Type of Qualification: First Degree
Field of Study: Business Commerce, Finance and Accounting, Analytics

Experience Required 

5-7 years 
Proven experience leading insights, analytics, or data science initiatives in a complex business environment, with the ability to translate data into clear, actionable insights for senior stakeholders.
Strong capability in building analytical, statistical, and machine‑learning models to solve real business problems, supported by a solid background in exploratory analysis and predictive techniques.
Hands‑on experience working with large, complex, and mixed data sources (both structured and unstructured), shaping these into reliable, reusable datasets that support decision‑making.
Strong data engineering and automation skills, with experience designing and overseeing end‑to‑end analytics processes from data ingestion and transformation through to insight delivery and operational reporting. 
Demonstrated proficiency in Python, SQL, and Spark, experience working in Hadoop or distributed data environments, and comfort operating in production systems using SSH, command‑line tools, and scheduled workflows (Cron).
A solid understanding of modern data platforms and architectures, and experience partnering with engineering and technology teams to ensure analytics solutions are robust, scalable, and production‑ready.

Behavioural Competencies:

• Articulating Information
• Challenging Ideas
• Checking Things
• Convincing People
• Developing Expertise
• Developing Strategies
• Embracing Change
• Empowering Individuals
• Establishing Rapport
• Exploring Possibilities
• Generating Ideas
• Interpreting Data
• Making Decisions
• Seizing Opportunities
• Showing Composure
• Upholding Standards

Technical Competencies:

• Analysing Insurable Risk
• Business Development
• Business Intelligence
• Client Relationship Management
• Collaboration
• Compliance
• Continuous Improvement
• Creative Problem Solving
• Data Analytics & Visualization
• Data Compliance
• Data Measurement
• Data Quality
• Economic Research
• Information Management
• Knowledge Management
• Performance Benchmarking
• Policy Development
• Product and Services Knowledge
• Research
• Risk Awareness
• Risk Identification
• Risk Management
• Scenario Development
• Strategic Alignment & Execution
• Strategic Planning and Reporting