We’re trusted modelling advisors across a wide range of business industries, including 10 FTSE 100 companies and Fund Managers with over £1.75 Trillion of assets under management.
Developing and implementing a tool to automate the collection, processing, and load of foreign exchange rates needed for reporting and forecasting activities
We developed a forecasting model that helped quantify the equity needed & show how it could be used in several scenarios to support Elements' fund-raising ...
Numeritas worked quickly to deliver a financial model for a producer of Japanese cuisine, providing a clear view of profitability at product, customer, & company ...
Leading London estate agency Foxtons wanted to understand the impact of changes to tenancy legislation on their lettings division. Numeritas supported them with rental portfolio ...
Numeritas was engaged by Schroders Capital to develop a real estate fund forecasting model which would allow fund managers to make more informed investment decisions ...
Numeritas developed a model using the latest Clients Model Build Tool (MBT) for a prospective investment in Poland for a wind farm generating c. 65000 ...
We prepared a bankable project finance model for two Finnish Wind Farm Projects with debt sizing automation, which could be effectively used by both sponsors ...
Numeritas deployed a new consolidation tool for Low Carbon which allowed them to forecast multiple Special Purpose Entities across business groups with differing renewable technologies ...
Numeritas successfully implemented a new tool to consolidate the group’s 34 legal entities based over several geographies, with complex financing and ownership structures.
Implementing a new business platform for the online money transfer service, with a redesigned and optimised suite of forecasting processes, analysis tools, approval processes and ...
Relieving time pressure on the financial controller of this rapidly growing Fintech lender, while enabling the CFO to instil greater confidence in the company's lending ...
Developing an integrated profit and loss, balance sheet and cashflow model to support the online takeaway delivery giant’s proposed £6.2bn merger deal.