Nexus Programme
Listed on 2026-10-15
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IT/Tech
Business Systems & Technology Analysis, Data Engineering, Information Security & Data Protection, Data Analyst
Ninety One is South Africa’s largest investment manager and the only one with a global presence. The firm has 22 offices across 15 countries on five continents and manages R3.9 trillion of assets on behalf of clients (as at 31 March 2026).
Established in Cape Town in 1991 as part of the Investec Group, Ninety One demerged and rebranded in 2020, becoming an independent firm dual-listed in London and Johannesburg.
Always an active manager, Ninety One today offers strategies across equities, fixed income, multi-asset and private markets to institutions, advisors and individual investors around the world.
About the team:Fast-track your career and join the Ninety One Nexus Programme. Every function at Ninety One is becoming digitally led. Nexus isn’t where technology and business meet halfway, it’s proof that they’re becoming one skill set, and it’s the training ground for our firm of the future. We’re looking for exceptional early-career talent with strong technical grounding who want to build that skill set from day one.
You’ll start by mastering our technology architecture, data principles, and ways of working alongside our tech team. Then you’ll apply what you’ve learned in a project squad, tackling a real business challenge, digitally led from the ground up. Global exposure. Meaningful responsibilities. Real impact at South Africa’s leading asset manager. Few programmes offer this depth of experience, in a dynamic business based in the heart of Cape Town.
Year 1:
Build your foundation
- Learn Ninety One’s technology architecture, data principles, and tools
- Work closely with the tech team on real projects
- Build and deploy tech-enabled solutions
- Develop AI-powered products and workflows
Year 2:
Connect it across the business
- Join a cross-functional project squad
- Help modernise a real piece of the business, one project at a time
- Bring a technology lens to non technology challenges
- A degree in Data Science, Computer Science, Engineering, Information Systems, Actuarial Science/ Statistics/Mathematics - technical orientation, or a related field
- A strong academic record
- A willingness to learn, ask questions and grow in a collaborative team environment
- You’re excited by AI, automation, and the future of technology
- You learn fast and enjoy experimenting with new tools
- You thrive in environments that value creativity and initiative
- You are people-orientated and thrive in ambiguity
- You want a broad foundation, not a single-track career
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