Senior Engineer, Risk Analytics Solutions

Job Description

• 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.

• 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)