AI Analyst Programmer

Old Mutual Life Assurance Company (SA) Ltd (PFA); Cape Town; On-site; ZAR 500,000 - 750,000; Full time

Job summary

Old Mutual Life Assurance Company (SA) Ltd (PFA) is seeking an exceptional early-career Industrial Engineer to apply systems thinking, quantitative modelling and AI to investment and operational problems in Cape Town. You will develop and maintain applications, build AI-enabled tools and dashboards, and help scale business processes.

The role emphasizes contributing to design, implementation and maintenance of software solutions, data analysis and automation to improve decision quality and

Qualifications

• NQF 7
• Industrial Engineering graduate (preferred)
• Strong Python

Responsibilities

• Develop existing applications and contribute to new applications by analyzing and identifying areas for modification and improvement.
• Monitor and fix more complex software defects to maintain functioning applications.
• Produce concepts and prototypes to design digital products/services.
• Advise on technical developments to improve website/portal/applications software and supporting infrastructure.
• Maintain a roadmap to prioritize development in line with business needs.
• Provide fault isolation and resolution to address issues promptly.
• Create and maintain technical and user documentation to a high standard.
• Design and perform software tests and monitor performance issues via user feedback.
• Ensure compliance with organizational policies and regulatory codes of conduct.

Skills

Python

Education

Industrial Engineering degree

Job description

Let's Write Africa's Story Together!

Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.

Job Description

Private Clients manages over R80 billion globally for high-net-worth individuals, families and entrepreneurs, solving complex investment and wealth challenges across generations.

This is a role for an exceptional early-career Industrial Engineer who wants to apply systems thinking, quantitative modelling and AI to real investment and operating problems - and see their work used in practice.

We operate at the intersection of:

• Investments and portfolio management
• Quantitative modelling and decision science
• Technology, AI and data systems
• Operational optimisation and process engineering
• Complex real-world problem-solving

As our business evolves, we are increasingly leveraging AI, advanced analytics and automation to improve how we invest, manage portfolios, serve clients and run the platform. This is not a support role. You will work on high-impact problems, build tools, improve decision quality, and help scale how the business operates.

Key responsibilities will include amongst others the following:

Application Software Development

Develop existing applications and contribute to development of new applications by analyzing and identifying areas for modification and improvement. Develop new routine applications to meet customer requirements.

Applications Software Maintenance

Monitor, identify, and correct more complex software defects to maintain fully functioning applications software.

Design and Conceptualization

Produce multiple concepts and prototypes to design digital products/services .

Technical Developments Recommendation

Discuss and recommend technical developments to improve the quality of the website/portal/applications software and supporting infrastructure to better meet users' needs.

Application Software Road Map

Contribute to and maintain a roadmap to facilitate application software development and ensure the development work is prioritized in line with business requirements.

Faults Diagnosis and Correction

Provide fault isolation and resolution to limit and address issues promptly.

Documentation

Create and maintain complex technical and/or user documentation to a high standard.

Testing Information Technology (IT) Performance

Design and perform website/applications software tests and respond to user emails to monitor, diagnose, and correct performance issues.

Operational Compliance

Maintain and renew a deep knowledge and understanding of the organization's policies and procedures and of relevant regulatory codes and codes of conduct, and ensure own work adheres to required standards. Identify, within the team, patterns of noncompliance with the organization's policies and procedures and with relevant regulatory codes and codes of conduct, taking appropriate action to report and resolve these and escalating issues as appropriate.

Information Security

Implement required security measures, such as firewalls or message encryption, and provide input on their design, monitoring performance to notify security experts of any problems.

Horizon Scanning

Explore and develop a detailed understanding of external developments or emerging issues and contribute to the evaluation of their potential impact on, or usefulness to, the organization.

Data Collection and Analysis

Conduct research using primary data sources, and select information needed for the analysis of key themes and trends.

Analysis of "As Is" and "To Be"

Document "as is" and "to be" processes and describe the changes required to migrate to the "to be" capability to record accurately the change required .

Technical Database Support

Design distribution of basic database resources and provide physical modeling and design services to tune database applications for optimum performance.

AI & Intelligent Systems

Support AI integration across investment research (including screening tools), portfolio management and operations. Identify practical AI use cases and help deploy decision-support tool. Explore automation that improves efficiency, insight and client outcomes.

Quantitative & Analytical Support

Support model development and quantitative analysis across investment workstreams. Assist with data modelling, forecasting, optimisation and analytical problem-solving. Work with financial datasets to generate insight and improve decisions. Support modelling initiatives in Bloomberg and related platforms.

Process & Systems Innovation

Analyse workflows and identify redesign and optimisation opportunities. Build dashboards and reporting tools that improve scalability and decision-making. Support data-driven decision-making across business and investment functions.

These responsibilities offer an overview of the role and are not confined or restricted solely to what is listed.

Qualifications and Experience required:

• NQF 7
• Industrial Engineering graduate (Preferred)
• Strong Python