Senior Engineer, Risk Analytics Solutions
- Location
- Johannesburg, Gauteng
- Minimum qualification
- Bachelor's degree
- Closing date
First listed . Last checked at source .
In brief
**Overview** This role at Standard Bank is for a Senior Engineer in Risk Analytics Solutions. The position acts as a crucial link between advanced analytics and the operational environment, operating within a cross-functional squad. The primary focus is on the operationalization of AI, risk models, and strategies. **What you will do** * Be embedded within a cross-functional squad, responsible for the operationalization of AI, risk models, and strategies. * Ensure that analytical solutions (such as credit scorecards and real-time fraud models) built by data scientists and risk analysts are deployed, monitored, and managed in a robust, automated, and scalable fashion. * Build and own the orchestration solutions within AWS to support Risk Solutions, including SAS Viya and other AWS Services, to bring risk intelligence to life. **Requirements (from the original advert)** * Completed Matric * Bachelor’s degree in computer science, Software Engineering, Information Systems, or a related quantitative field. * 3-5 years' experience in a relevant technical role such as DevOps Engineer, MLOps Engineer, Cloud Engineer or Data Engineer with a 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). **Who should apply** This role is suitable for an experienced technical professional with 3-5 years in DevOps, MLOps, Cloud, or Data Engineering, specifically focused on automation. The ideal candidate will have a Bachelor's degree in a quantitative or technical field, strong Python programming skills, and proven experience with CI/CD tools, cloud platforms (AWS/Azure), containerisation, and IaC. They should be adept at operationalizing AI and risk models, ensuring scalable deployment and monitoring, and capable of building AWS orchestration solutions. Candidates should also possess the specified behavioural and technical competencies related to practical approaches, information articulation, technical expertise, documentation, adaptability, data management, and IT stakeholder management. **Deadline** Not specified **Reference** Original posting: https://www.myjobmag.co.za/job/senior-engineer-risk-analytics-solutions-standard-bank-group Source: myjobmag
Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.
At a glance
- At least 3 years of experience.
- Python
- AWS
- Azure
- Docker
- Kubernetes
- Git
Extracted automatically from the advert; confirm requirements on the original listing.
Job description
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