Internal Audit Data & AI Enablement Graduate at Nedbank

Nedbank invites forward-thinking, digitally minded graduates to join the Group Internal Audit (GIA) team as an Internal Audit - Data and AI Enablement Graduate based in Sandton, Johannesburg. This specialized graduate accelerator offers immersion into modern digital assurance, empowering emerging technologists to harness data analytics, automation, machine learning, and generative artificial intelligence in a tier-one banking environment.

As part of this high-impact programme, you will collaborate with cross-functional audit and technology professionals to develop automated workflows, dynamic data visualisations, and AI-enabled solutions that solve complex audit challenges. Operating at the intersection of governance, data science, and financial technology, this role builds a robust foundation for high-demand digital careers while embedding sound principles of responsible AI, model governance, and ethical data application.

Key Responsibilities & Core Duties

• Support audit delivery across business units through advanced data analytics, process automation, and artificial intelligence solutions.
• Source, cleanse, and model complex banking datasets to identify operational trends, control anomalies, and emerging risk indicators.
• Design and deploy interactive dashboards and business intelligence reports that communicate actionable audit insights clearly to executive stakeholders.
• Contribute to the conceptualisation and testing of machine learning pipelines, prompt engineering workflows, and Generative AI use cases.
• Gain hands-on technical exposure to Microsoft Fabric, Azure AI capabilities, and enterprise-approved automation toolsets within Nedbank.
• Embed robust data governance, model risk assessment, and information security standards throughout the lifecycle of every analytical model.
• Collaborate actively with audit teams, business data owners, and IT stakeholders to capture operational requirements and implement practical digital solutions.

Ideal Candidate Profile & Core Attributes

• Analytical curiosity with a proven passion to interrogate complex datasets and extract meaningful business insights.
• Agile problem-solving mindset capable of rapidly adapting to emerging AI frameworks, tools, and enterprise methodologies.
• High ethical standards and an intrinsic understanding of the importance of data privacy, model fairness, and responsible technology application.
• Strong collaborative instincts with effective communication skills to translate technical analytical outcomes into clear business value.

Learning, Mentorship & Career Progression

• Receive structured technical mentoring from seasoned data scientists, digital assurance specialists, and internal audit leadership.
• Gain direct workplace exposure to cutting-edge cloud infrastructure, enterprise artificial intelligence tooling, and industry-recognised governance methodologies.
• Successful completion paves progressive career pathways into specialized positions such as Data Analyst, AI Enablement Specialist, Digital Assurance Auditor, or Intelligent Automation Engineer across Nedbank Group.

Estimated Salary Range (Market Benchmark)

The hiring employer has not officially specified a salary for this position. Based on South African market data and industry benchmarks for a corporate banking technology graduate programme role, the estimated remuneration is approximately R16,000 – R26,000 per month. Please note that this is an industry estimate and actual remuneration will be determined by the employer based on qualifications, experience, and internal pay structures.

How to Apply & Submission Guidelines

Interested applicants who meet the minimum criteria are encouraged to submit their formal applications through the official Nedbank careers portal before the closing date of 26 November 2026. Please ensure that you upload an updated Curriculum Vitae, certified academic transcripts, and proof of South African citizenship. Reference requisition number 148468 during the application process.

• Completed an NQF Level 7 qualification or higher (Advanced Diploma, Bachelor's Degree, or Honours) in Data Science, Computer Science, Information Technology, Statistics, Mathematics, Internal Auditing, or a related quantitative field.
• South African Citizen.
• No prior work experience required.
• Must meet Nedbank organisation's applicable graduate programme eligibility criteria and not be registered on another graduate programme.
• Foundational programming knowledge in Python or a similar language, alongside basic SQL and an understanding of data preparation pipelines.
• Conceptual awareness of machine learning, prompt engineering, generative AI, retrieval-augmented generation (RAG), and data visualisation platforms is advantageous.
• Academic exposure gained through projects, internships, hackathons, or personal initiatives in data, analytics, or software development will be beneficial.