Built Forecasts → 96% Accuracy on £180M Plan: FP&A Bullets
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FP&A roles are screened on plan size + forecast accuracy + cadence. The rewrite quotes all three plus the BU count and the cash-model cadence — five facts only the owner of the plan could surface.
Owned the £180M annual operating plan, hitting 96% quarterly forecast accuracy across 11 BU P&Ls and a monthly rolling-13-week cash model.
What changed and why
- Forecast accuracy % is the FP&A senior-tier metric. Junior FP&A says 'supported the plan'.
- Plan size in £ tells a recruiter your scope at a glance — different roles at £20M vs £180M vs £2B.
- BU count (11 P&Ls) signals breadth; cash-cadence (rolling 13-week) signals technical literacy.
- Banned FP&A AI phrases: strategic planning, management decision-making, financial insights, robust models.
Recruiter perspective
“96% accuracy on £180M across 11 BUs is a top-quartile FP&A profile. I'd phone-screen tomorrow.”
Related rewrites
Managed Close → Cut Close Cycle Day 8 → Day 4: Controller
Two filler verbs ('managed', 'ensured') replaced with the only three things controllers are graded on: close-cycle days, entity scope, and audit-finding count. Naming the tools (NetSuite + Blackline) signals stack literacy.
Built Risk Models → Cut Fraud £820k/Yr: Risk & Fraud Bullets
Risk-and-fraud bullets must always quote BOTH detection lift AND false-positive impact — gains in one at the cost of the other are not real wins. The rewrite quotes both, names the fraud-type (CNP), and the transaction volume.
Built Dashboards → Killed 4 Hours/Wk of Manual Reporting: Analyst
Three filler phrases gone ('insights to stakeholders', 'data-driven decision making', plural 'dashboards'). Replaced with the tool, the user count, the cadence, the time saved, and the financial decision that flowed from the analytics.