Interim FP&A Manager
CedarCedar 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.
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