Job title : GIF (Global Infrastructure Finance) Analyst Yes Learnership
Job Location : Gauteng, Johannesburg Deadline : August 01, 2025 Quick Recommended Links
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Job Description
- The job involves joining GIF.
- You will work in the Johannesburg office, but will be in daily contact with team members from the other offices within our business.
- Expert tuition will be provided in the FAST financial modelling standard in MS Excel, which is a market leading methodology in the production of long-term budgeting, operational and transactional financial models
Duties and Responsibilities
Financial modelling is key to this role and the work will involve :
- Providing model assurance service / model auditing following the shadow modelling approach, where tested templates are used to review client models;
- Reviewing project related documents like credit agreements, tax and accounting reports and payment mechanisms for assurance;
- Taking an active part in a continuous process of improving the quality and productivity of model auditing processes and procedures; and
- Interacting with the clients ranging from leading energy and infrastructure project financiers, investors, developers, government agencies and advisors.
You should apply for this job if you are a professional who :
- can use English to communicate technical ideas clearly and concisely, both verbally and in writing
- have an excellent academic background
- have studied accounting and / or finance
- possesses strong analytical skills and a critical and questioning attitude and enjoy the challenge of solving logic problems; can anticipate questions and provide the answers as part of your solution
- is motivated by the energy and infrastructure sectors – the projects we work on involve raising finance to get real life projects off the ground that have an enormously positive societal value
- is an innovator : able to follow a defined process but continuously looking to make improvements; and
- likes to work in a team, and willing to contribute to, as well as benefit from a continuous learning environment