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Forvis Mazars in Australia is seeking a Financial Modelling Assistant Manager for the APAC Energy & Infrastructure team in Sydney. The role focuses on delivering robust financial models for infrastructure and renewable energy projects, from bid through to operations, with attention to quality control and client outcomes.
The ideal candidate will have formal training in best practice financial modelling, along with expertise in project finance, tax and accounting, and the ability to integrate
Forvis Mazars' APAC Energy & Infrastructure team has an opportunity for a Financial Modelling Assistant Manager like you.
Forvis Mazars is a leader in audit, tax and advisory services, operating worldwide across 100+ countries and territories. Join our 40,000+ strong team to grow your career through global opportunities, diverse projects and continuous learning. Belong to a supportive environment where your unique perspective is valued and success comes from working together. Impact with your bold ideas and help drive us forward.
The APAC Energy & Infrastructure team works with sponsors, investors and banks to create and maintain strong financial structures for projects. We apply this throughout the project lifecycle, from development and financial close through to the operating phases of projects. The team has built up an extensive track record in project finance transactions in over 30 markets, supporting investment funds, developers, global contractors and other sponsors and lenders.
Forvis Mazars is one of the leading financial modelling (build and audit) firms in the project finance market, and is recognised by lenders and investors for the quality and integrity of its model reviews, and inclusion of sector-specific expertise in its analysis. The team works closely with clients and their advisors in developing the financial model to drive decision making and forecasting valuations, in the context of debt and equity transactions. We focus on providing comprehensive insight to bidders and investors as to the scoping, structuring, and allocation of risk in projects so as to make them robust and enduring investments.