Senior FP&A Analyst — Global Scale-Up with Equity

Remote Worker LTD.

Greater London

On-site

GBP 70,000 - 110,000

Full time

5 days ago
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Benefits offered by this job

Equity for early stage
25 days holiday + BHs
Private Medical Insurance
Cycle to work
Nursery benefits
Nest pension
Work from anywhere for a month
MacBook
Team socials

Job summary

Lawhive is seeking an experienced Senior FP&A Analyst to own forecasting, budgeting and financial modelling for a fast-scaling multi-entity group across the UK and US. You will partner with finance leadership and senior stakeholders to drive performance insights and strategic decision-making.

This role requires building scalable FP&A tools, leading budgeting cycles, and translating complex data into actionable recommendations in a high-growth startup environment.

Qualifications

  • Significant FP&A, commercial finance, or strategic analysis experience.

Responsibilities

  • Own group-level forecasting across revenue, headcount, costs and cash flow.
  • Build and maintain financial models to support planning and investment decisions.
  • Analyse performance trends and highlight risks, opportunities and drivers.
  • Lead scenario modelling, long-range planning and sensitivity analysis.
  • Provide commercial input on new initiatives and operational decisions.
  • Build relationships and support decision-making with high-quality data.
  • Run budgeting cycles and standardised planning processes across teams.

Skills

FP&A experience
Financial modelling
Advanced Excel/Google Sheets
Stakeholder partnering
Analytical thinking
Startup/scale-up experience
Revenue & margins

Tools

Excel
Google Sheets

Job description

Lawhive is seeking an experienced Senior FP&A Analyst to own forecasting, budgeting and financial modelling for a fast-scaling multi-entity group across the UK and US. You will partner with finance leadership and senior stakeholders to drive performance insights and strategic decision-making.

This role requires building scalable FP&A tools, leading budgeting cycles, and translating complex data into actionable recommendations in a high-growth startup environment.

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