Website Standard Bank
Standard Bank is the largest bank in Africa by total assets, headquartered in Johannesburg, South Africa.
About Standard Bank
Standard Bank is the largest bank in Africa by total assets, headquartered in Johannesburg, South Africa. As a brand with a legacy of over 160 years in Africa, we have a deep understanding and belief in the boundless opportunities that this continent presents. Our vision extends beyond mere geography; it encompasses a profound recognition of the potential for growth that resonates within our people, customers, entrepreneurs, and all who share our unwavering commitment and passion for investing in Africa.
Job Description
As a Risk Analytics Engineer, you are the critical bridge between advanced analytics and our production environment. You will be embedded within a cross-functional squad, responsible for the operationalization of 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 Machine Learning Operations pipelines and solutions that bring our risk intelligence to life.
Qualification
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related quantitative field.
Experience Required
- 3-5+ years experience in the relevant technical role such as DevOps Engineer, Machine Learning Operations Engineer, Software Engineer or Data Engineer with focus on automation.
- Strong programming proficiency, particularly in Python.
- Proven experience with Continuous Integration and Continuous Delivery/Deployment tools (e.g. Github 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 tools (Terraform, Cloud Formation)
Behavioural Competencies:
- Adopting practical approaches
- Articulating Information
- Communication and collaboration skills
- Problem solving
- Attention to detail
- Managing Tasks
- Output driven
Technical Competencies:
- Strong capability in modern data and Machine Learning operations, including orchestrating workflows, managing model lifecycles, and handling large‑scale data processing.
- Solid understanding of risk analytics within financial‑services or other regulated environments.
- Ability to integrate and operationalize models developed across diverse analytical and statistical toolsets.
- Practical experience implementing advanced AI solutions, including large‑scale language models, retrieval‑based architectures, and vector‑driven search.
To apply for this job please visit www.standardbank.com.
