Financial Model Audit
DWPF provide clients with financial model audit and assurance services.
Our detailed knowledge of bidding on projects and interacting with sponsors and funders is backed by years of working day-to-day on such transactions. This extensive experience gives us an excellent understanding of projects, thereby enabling us to identify risk areas and potential issues and add real value.
As your model auditor DWPF understands the pressures leading up to bid submission date and financial close. We do everything we can to guide you through the model audit process, so that it runs as smoothly as possible, whilst giving you comfort that any errors or potential errors have been identified and addressed correctly.
With the January 2017 recruitment of six ex-Corality modelling team members, DWPF is in an excellent position to support you with financial model audit services.
In This Section
Eugene Moshan and Hamish Tulloch , who lead the model audit team, bring over 30 years of experience in financial modelling and model audit, with all six of the new team having extensive experience in infrastructure and renewables across Europe, North America and the Middle East.
Their recent track record includes model audits for the following projects in North America and Europe:
PPP / P3
- Mackenzie Vaughan Hospital.
- Penticton Hospital.
- University of California Merced Campus.
- State Street Redevelopment.
- SH 288.
- D4 R7 Highway (Bratislava).
- Borden Data Centre.
- Grand Renewables Solar.
- Nordsee 1 offshore wind farm.
- Norther and Rentel offshore wind farms.
Corporate acquisitions / refinancings
- Adven Group OY.
- Coriance sale (2016).
- Fortum Distribution AB sale (2015).
- Roadchef refinancing.
- International Energy Group (2016).
- Red Funnel Refinancing.
- Wightlink sale (2015).
- TCR Group sale (2016).
At DWPF, we deploy the tried and tested cell-by-cell method of model audit, which guarantees a flexible but robust process, no matter the type of financial model.
Being financial modellers ourselves, we understand where common errors in models occur, and have the commercial insight to identify outputs that are out of line with expectations.
Thus, we unearth insightful and relevant findings, capture the errors and potential errors that would arise as a result of using different assumptions, and present them to you in a simple, easy to follow Excel file, which ultimately saves you time.