Head of FP and A (Full-Time)
FD Capital Recruitment
| Company | FD Capital Recruitment |
| Category | Finance |
| Location | London |
| Remote | — |
| Employment | Not stated |
| Level | Director |
| Salary | Not stated by the employer |
| First seen | 2 Aug 2026 (the employer did not state a posting date) |
| Last verified | 9 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
FD Capital is retained on an exciting search for a Head of FP&A to join a high-growth, private-equity-backed SaaS business. This is a newly created, first-in-seat role — the analytical engine of a small, senior finance team, reporting directly to the CFO.
It's a hands-on, high-breadth opportunity at the intersection of rigorous financial modelling, commercial insight, and strategic decision-making. You'll own the financial planning architecture, build the ARR revenue intelligence infrastructure, and deliver the board-level insight that shapes how the business grows. You'll work directly with the CFO, CEO, and PE board — no layers between you and the decisions that matter.
What you'll own
• Annual budgeting and the monthly rolling forecast cycle, with commercially grounded variance analysis
• A best-in-class ARR data cube: cohort retention, expansion, churn, NRR/GRR, CAC payback, LTV:CAC
• Investor-grade, narrative-led board reporting packs and scenario/sensitivity models
• RevOps and cross-functional finance partnering with Sales, Marketing, and Customer Success
• Integrated models for strategic decisions — new markets, pricing, M&A, major investment
• Embedding AI and automation across core FP&A processes
What our client is looking for
• 4+ years in private equity (Associate level), M&A / corporate finance advisory, or a high-calibre FP&A / finance business partnering role in a PE-backed or high-growth SaaS business
• Exceptional, institutional-standard financial modelling: three-statement, scenario, sensitivity, variance
• Strong grasp of SaaS metrics: ARR/MRR, NRR/GRR, churn cohorts, CAC payback, LTV:CAC
• A track record of turning complex data into insight that drives real decisions
• Strong quantitative academic background (Maths, Engineering, Physics, Economics or similar)
• ACA, CIMA or CFA (or studying towards) desirable, along with BI tooling and AI-in-finance experience
This is an ideal next step for someone coming out of PE, M&A advisory, or a top corporate finance environment who wants to see their models directly move the dial — on a clear trajectory toward CFO.100K Basic plus 10% Bonus