Senior Engineer, Risk Analytics Solutions
Standard Bank Group · Johannesburg, Gauteng
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- As a Risk Analytics Solution Engineer, you are the critical bridge between advanced analytics and our operational environment. You will be embedded within a cross-functional squad, responsible for the operationalization of AI, risk models and strategies.
- Your primary mission is to ensure that the analytical solutions built by our data scientists and risk analysts—from credit scorecards to real-time fraud models—are deployed, monitored, and managed in a robust, automated, and scalable fashion.
- You will build and own the orchestration solutions within AWS to support our Risk Solutions which includes SAS Viya, and AWS Services that bring our risk intelligence to life.
Qualifications
- Completed Matric
- Bachelor's degree in computer science, Software Engineering, Information Systems, or a related quantitative field.
Experience
- 3-5 years' experience in the relevant technical role such as DevOps Engineer, MLOps Engineer, Cloud Engineer or Data Engineer with focus on automation.
- Strong programming proficiency, particularly in Python.
- Proven experience with CI/CD tools (e.g. GitLab actions, Azure DevOps, Jenkins)
- Hands-on experience with cloud platforms (AWS or Azure)
- Experience with containerisation technologies and distributed computing (Docker, Kubernetes)
- Familiarity with Infrastructure as Code (IaC) tools (Terraform, Cloud Formation)
Behavioural Competencies
- Adopting Practical Approaches
- Articulating Information
- Developing Expertise
- Documenting Facts
- Embracing Change
Technical Competencies
- Big Data Frameworks and Tools
- Data Engineering
- Data Integrity
- Data Quality
- IT Knowledge
- Stakeholder Management (IT)