Senior Risk Analytics Engineer – MLOps on AWS

Standard Bank Group

Johannesburg

Presencial

ZAR 1.400.000 - 2.000.000

Jornada completa

14 días+

Una candidatura completa en un minuto

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Descripción de la vacante

Standard Bank Group is seeking a Senior Engineer, Risk Analytics Solutions to bridge advanced analytics with production environments in a cross-functional squad. You will operationalize AI risk models, deploy and monitor them in AWS, and support SAS Viya-based risk solutions with automation and scalable orchestration.

The role requires strong Python, DevOps experience, and hands-on cloud and IaC skills, plus the ability to translate analytics into robust operational systems within a large bank.

Formación

  • Bachelor’s degree in computer science, software engineering, information systems or a related quantitative field.
  • 3-5 years in DevOps/MLOps/Data/Cloud with focus on automation.
  • Strong Python programming.
  • Experience with CI/CD tools (GitLab Actions, Azure DevOps, Jenkins).
  • Hands-on with AWS or Azure; Docker and Kubernetes experience.
  • Knowledge of IaC tools (Terraform, CloudFormation).
  • Ability to articulate information, develop expertise and document facts.
  • Familiar with big data frameworks and data quality concepts.

Responsabilidades

  • Operationalize AI risk models and risk analytics solutions in production.
  • Deploy, monitor, and manage models and SAS Viya-based solutions in AWS/Azure.
  • Collaborate with data scientists and IT to ensure scalable automation across platforms.

Conocimientos

Python
Soft skills
Stakeholder management
Documentation
Developing expertise
Adopting practical approaches

Educación

Bachelor’s degree in CS/SE/IS or related field

Herramientas

AWS
Azure
GitLab Actions
Azure DevOps
Jenkins
Docker
Kubernetes
Terraform
CloudFormation

Descripción del empleo

Standard Bank Group is seeking a Senior Engineer, Risk Analytics Solutions to bridge advanced analytics with production environments in a cross-functional squad. You will operationalize AI risk models, deploy and monitor them in AWS, and support SAS Viya-based risk solutions with automation and scalable orchestration.

The role requires strong Python, DevOps experience, and hands-on cloud and IaC skills, plus the ability to translate analytics into robust operational systems within a large bank.

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