Learnership Programme Opportunity at KPMG South Africa

KPMG South Africa offers an exciting Learnership Programme within its Technology Risk division of Advisory, designed for entry-level candidates eager to kickstart their careers in a rapidly evolving field. This programme provides a unique opportunity to support clients in navigating complex technological challenges and achieving their business objectives. Learners will gain hands-on experience in leveraging data and analytics to enhance client understanding, innovate external audit approaches through emerging technologies, and provide assurance via IT risks and controls assessments. This role is perfect for individuals with a keen interest in technology risk, who are agile, adaptable, and possess strong problem-solving skills, ready to interact with top-level executives in the IT and finance industry.

Key Responsibilities

• Supporting clients in achieving business objectives and navigating technological challenges within the Technology Risk division of Advisory.
• Utilizing data and analytics to enhance understanding of client environments and provide actionable insights.
• Enhancing external audit approaches through innovative use of emerging technology.
• Providing assurance via IT risks and controls assessments.
• Designing and implementing system-based internal controls.
• Responding to cyber-attacks and enabling business resilience.
• Assisting clients in managing risks associated with emerging technologies such as Cloud, RPA, AI, and Blockchain.
• Interacting with top-level executives in the IT and finance industry.
• Participating actively in on-the-job learning and receiving coaching from a diverse team of professionals.
• Contributing to a positive and cohesive team environment, fostering collaboration and knowledge sharing.

Why Join the Company

Joining KPMG South Africa means becoming part of a leading professional services firm renowned for its audit, tax, and advisory solutions. KPMG offers a dynamic and supportive environment where continuous learning and professional growth are prioritised. Learners benefit from competitive compensation and benefits, including medical aid and retirement fund contributions, aligning with industry standards for graduate roles. The programme provides extensive on-the-job learning, coaching from experienced professionals, and exposure to real-world business challenges. This experience is crucial for developing skills relevant to the 4th industrial revolution and positions learners for significant career advancement within KPMG’s Advisory division or related technology risk roles, with potential for future leadership positions.

Training and development

Opportunities include comprehensive on-the-job learning, direct coaching by a diverse team of experts, and skill development specifically relevant to the 4th industrial revolution. Participants will gain invaluable exposure to top-level executives and real-world business challenges, fostering practical experience and professional growth.

Career progression

Graduates can expect to gain valuable experience in technology risk, positioning themselves for significant advancement within KPMG’s Advisory division or related technology risk roles. The programme is designed to build a strong foundation for future leadership positions within the firm, offering clear pathways for long-term career development.

How to Apply

Select the direct application link below for each position.

• Technology Risk Graduate Programme (Start ASAP)
• Deal Advisory Graduate Programme (Start ASAP)

• Keen interest in Technology Risk.
• High-performing team player who can also work independently and contribute to a positive, cohesive team environment.
• Ability to be agile, adapt to changing environments, identify problems, trace to root cause, and recommend solutions.
• BSc Computer Science, BSc Information Technology, BSc Information Systems, BCom Informatics, B. IT, or Internal Audit (Honour’s/PGDA).
• Bachelor's degree or higher in relevant fields such as IT & Computer Science, Artificial Intelligence, Computer Science, Computer Systems and Networks, Cyber Security, Data Science, or Software Engineering.