About the role
We are hiring a Principal FP&A Analyst.
You will own the backend modelling and reporting that underpins company-wide planning, forecasting, and performance management.
This is a hands-on role for someone who wants to stay close to the detail, personally develop models, governance and own the work end-to-end.
You will shape how performance is measured across the organisation, defining executive reporting, operational metrics, and KPI frameworks across a multi-product environment.
Key responsibilities
Build, maintain, and continuously refine sophisticated financial models to support budgeting, forecasting, and long-range planning across current and future products including scenario, sensitivity, and stress-testing analysis
Design, build, and maintain analytical dashboards that surface key financial and operational metrics, enabling fast, confident decision-making across the business
Serve as the primary finance partner to product, data, and engineering teams; owning alignment on metrics, data definitions, and reporting standards to ensure a single source of financial truth
Champion the effective use of FP&A tooling (Abacum) and evaluate emerging technologies including ML/AI where they can meaningfully improve forecast accuracy or reporting efficiency
Leverage LLMs and generative AI to enhance FP&A productivity including automated reporting narratives, faster variance commentary, and intelligent summarisation of financial data for senior stakeholders
Use Python, SQL, and other analytical tools to work with large, complex datasets automating reporting pipelines and eliminating manual work
Take ownership of financial governance from data inputs and model integrity through to output quality and auditability
Translate complex financial and operational data into clear, actionable insights for senior stakeholders, proactively surfacing trends, risks, and opportunities rather than waiting to be asked
Identify and lead automation initiatives across the finance team
About you
Strong academic background in a quantitative discipline; mathematics, engineering, computer science, or similar
Solid understanding of P&L, Balance Sheet, and Cash Flow statements
Experience building financial models
Proficient in SQL and Python
Comfortable using generative AI tools (Claude, Gemini)
You would instinctively question metric definitions
You thrive in ambiguity, move fast, and bring rigour with you
The interview process:
A quick remote call with one of the hiring team and follow-up 15 minute cognitive assessment.
A 20 minute call with the VP of Finance
A technical take home tasks
A 60 minute on site interview with finance senior leadership and other members of the team.
