TalentForge Tech Graduate Programme at Nedbank

Programme purpose

• The TalentForge Tech Graduate Programme is a structured 24-month development programme that provides high-potential graduates with the opportunity to build the skills, experience and capabilities that they need to become future technology leaders, solution architects and distinguished engineers.
• Participants will gain practical experience through a blended learning model that will expose them to strategic technology initiatives, mentorship, coaching, and rotational or specialist career tracks. 

Programme model:

• Structured graduate development programme
• Rotational or specialist career pathways
• Blended learning and development approach
• Exposure to engineering, data, security and infrastructure practices
• Coaching, mentorship and leadership development opportunities

Key responsibilities

• Participate in assigned projects and technology initiatives.
• Contribute to the delivery of innovative technology solutions.
• Collaborate with engineering, architecture, data and infrastructure teams.
• Apply academic knowledge to solve business and technical challenges.
• Build technical capability through structured learning and practical experience.
• Participate in coaching, mentoring and development programmes.
• Support continuous improvement initiatives and innovation activities.
• Deliver work to agreed standards, timelines and quality expectations.
• Build relationships with key stakeholders across the business.
• Contribute towards transformation and culture-building initiatives.
• Maintain professional standards and demonstrate a commitment to continuous learning.

Minimum requirements

Experience: 

• Recent graduate or less than 24 months relevant work experience would be advantageous
• Internship or vacation work experience advantageous.

Essential qualification level:

• A completed qualification at NQF 7 (bachelor’s degree) or above.

Qualification:

Must have successfully completed a bachelor's degree (NQF Level 7) or higher one of the following fields:

• Computer Science
• Information Technology
• Information Systems
• Data Science
• Computational and Applied Mathematics
• Mathematics
• Actuarial Science
• Software Engineering
• Statistics
• Physics, Applied Physics, Mathematical Physics, Computational Physics, Quantum Physics or a closely related quantitative discipline

Academic achievement: 

• Minimum 65% aggregate average across completed qualification.

Closing date  -  03 November 2026