Senior Engineer, Risk Analytics Solutions

Standard Bank Group; Johannesburg; On-site; ZAR 1,400,000 - 2,000,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Soft skills

Stakeholder management

Documentation

Developing expertise

Adopting practical approaches

Education

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

Tools

AWS

Azure

GitLab Actions

Azure DevOps

Jenkins

Docker

Kubernetes

Terraform

CloudFormation

Job description

Senior Engineer, Risk Analytics Solutions

• Full-time
• Business Segment: Personal & Private Banking

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

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.

• 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)
  
• Adopting Practical Approaches
• Articulating Information
• Developing Expertise
• Documenting Facts
• Big Data Frameworks and Tools
• Data Integrity
• Data Quality
• IT Knowledge
• Stakeholder Management (IT)

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