NedBank: TalentForge Tech Graduate Programme 2027 New

NedBank: TalentForge Tech Graduate Programme 2027

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.

Requirements

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