Interim FP&A Manager

Cedar is partnered with a fast-growth, VC-backed consumer brand in Central London to appoint an Interim FP&A Manager. This is a 6-month contract offering a day rate of £350-450 per day. The Company This is a high-growth, digitally-led consumer business with a strong investor base and a data-rich operating model. The business is continuing to invest in its systems, reporting and analytical capability, and is looking to strengthen the FP&A function during a period of continued change and development. The Role The Interim FP&A Manager will take ownership of core FP&A activity, with a particular focus on analysis, modelling, systems and data. Key responsibilities include: Owning core FP&A reporting and monthly performance analysis. Supporting budgeting, forecasting and periodic reforecasting. Maintaining and improving P&L, balance sheet and cash flow models. Manipulating and analysing large, complex financial and operational datasets. Validating underlying data and investigating inconsistencies. Supporting finance systems implementation and reporting improvements. Improving automation, reporting workflows and model scalability. Producing variance, scenario and sensitivity analysis. Strengthening forecast accuracy and management information. Supporting Board and investor reporting. Providing ad hoc modelling and analytical support across FP&A.

Your Profile Strong hands-on FP&A and financial modelling experience. Advanced Excel. Comfortable manipulating and validating large, complex datasets. Experience improving FP&A reporting, systems or processes. Exposure to systems implementation, BI tools or reporting transformation would be advantageous. Comfortable operating in a fast-paced, changing environment. Compensation & Working Arrangements The day rate for this Interim FP&A Manager role is £350-450 per day. The role is based in Central London, with hybrid working requiring 3 days per week in the office. This is a strong opportunity for a hands-on FP&A specialist who enjoys getting into the detail of models, systems and data while helping build a cleaner, more scalable reporting environment.