AI-Driven Investment Tech Engineer

Old Mutual Life Assurance Company (SA) Ltd; Cape Town; On-site; ZAR 360,000 - 600,000; Full time

Job summary

Old Mutual Life Assurance Company (SA) Ltd is seeking an exceptional early-career Industrial Engineer to apply systems thinking, quantitative modelling and AI to real investment and operating problems. You will work on high-impact issues, build tools, and help scale how the business operates within the Private Clients division.

Key responsibilities include designing software, maintaining applications, and contributing to AI-enabled decision support across investments, portfolio management and

Qualifications

• NQF 7 Industrial Engineering graduate (preferred).
• Strong Python capability.
• Strong quantitative and analytical ability.
• Curious and creative in applying AI and technology to real-world challenges.
• Commercially aware, with an interest in financial markets and wealth management.
• Highly driven, self-starting and intellectually ambitious.
• Comfortable in complex, ambiguous environments.
• Always looking for smarter, faster ways of doing things.

Responsibilities

• Application Software Development: Develop existing applications and contribute to new ones by analyzing and modifying for customer requirements.
• Applications Software Maintenance: Monitor, identify, and correct complex software defects to keep applications functioning.
• Design and Conceptualization: Produce concepts and prototypes for digital products/services.
• AI & Intelligent Systems: Support AI integration across investment research and operations.
• Quantitative & Analytical Support: Assist model development, data modelling, forecasting, optimisation.

Skills

Python

Quantitative analysis

AI

Commercial awareness

Problem solving

Communication

Education

NQF Level 7 Industrial Engineering degree or equivalent

Tools

Bloomberg

Job description

Old Mutual Life Assurance Company (SA) Ltd is seeking an exceptional early-career Industrial Engineer to apply systems thinking, quantitative modelling and AI to real investment and operating problems. You will work on high-impact issues, build tools, and help scale how the business operates within the Private Clients division.

Key responsibilities include designing software, maintaining applications, and contributing to AI-enabled decision support across investments, portfolio management and