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.

As a Workflow & Risk Apps Engineer, you will be a key builder and innovator within our Risk Transformation Office. Your mission is to accelerate our entire solutions lifecycle by engineering bespoke applications, automating manual workflows, and creating insightful monitoring dashboards. You will work directly with our delivery, risk operations, and strategy teams to identify process friction and engineer practical solutions that make our entire organization faster, more efficient, and more transparent. This role is perfect for a creative engineering professional who is passionate about building tools that directly improve how people work and deliver value.

• Completed Matric
• Bachelor’ Degree Computer Science, Software Engineering, Information Systems, or a related technical field.

Experience

• 3-5+ years of hands-on experience in a role such as Software Developer, BI Developer, or Process Automation Engineer.
• Strong programming skills in at least one major language (e.g., Python, JavaScript).
• Deep expertise in SQL for querying complex datasets from multiple sources.
• Proven experience building insightful and performant dashboards with modern BI and data visualization tools (e.g., Power BI, Tableau etc.).
• Experience working with APIs (REST, GraphQL) to integrate disparate systems.

Behavioural Competencies

• Adopting Practical Approaches
• Articulating Information
• Developing Expertise
• Documenting Facts
• Embracing Change
• Examining Information
• Interpreting Data

Technical Competencies

• Agile Engineering
• API Engineering
• Automation
• Cloud Computing
• Data Engineering
• Infrastructure as Code (IaC)
• Microservices
• Non-abstract Large System Design (NALSD)
• Observability (Application and Web Analytics)
• Platform Engineering
• Policy as Code
• Post-incidence Analysis
• Reliability and Resilience
• Security Engineering
• Service Level Management
• Software Engineering Methods
• Software Engineering Tools
• Software Foundations
• System Integration
• Test-driven Design (TDD)
• Threat Modelling