GIF (Global Infrastructure Finance) Analyst Yes Learnership
Forvis Mazars
Date: 14 hours ago
City: Johannesburg, Gauteng
Contract type: Full time

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.
Minimum Requirements
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
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