About the role
We are hiring a Principal FP&A Analyst to own and evolve the modelling and analytical infrastructure that underpins company-wide planning, forecasting and performance management.
This is a individual contributor role for a quantitatively rigorous finance professional who combines advanced financial modelling capability with strong commercial judgement. You will design and maintain scalable forecasting frameworks, build decision-grade financial models, and translate complex operational and financial datasets into clear, actionable insight.
You will shape how performance is measured across the organisation, defining high-quality executive reporting, operational metrics and KPI frameworks within a multi-product environment. Beyond producing analysis, you will build robust dashboards and analytical tools that improve forecasting accuracy, strengthen performance visibility and raise the overall standard of financial decision support.
Key responsibilities
Act as a primary finance partner to product data analysts and data platform engineers, aligning on metrics, data definitions and reporting
Build, maintain, and refine detailed financial models to support budgeting and forecasting across current and future products, including scenario, sensitivity, and stress-testing analysis
Support the construction of robust rolling financial forecasts
Use Python, SQL, and other programming and analytics tools to work with large datasets to automate reporting
Design and manage dashboards covering key operational and financial metrics used in performance analysis
Analyse financial and operational data to identify trends, risks, and opportunities, translating analysis into clear, practical insights for management decision making
Work with existing FP&A tools (Abacum), and use other machine learning tools where appropriate to improve the speed and efficiency of financial reporting
Proactively explore other workflows across the wider finance team to identify opportunities to automate day-to-day activities for month end close, improving efficiency and reducing reporting timelines that have tangible impact for FP&A
About you
Strong academic background in a quantitative discipline such as mathematics, engineering, computer science or a related field
Proficiency in coding - ideally both SQL and Python
Comfortable using AI tools (for example, Claude Code and Gemini)
You think in systems. You instinctively question metric definitions. You prefer building scalable analytical infrastructure over producing one-off spreadsheets
You have an understanding of P&L, Balance Sheet and Cash Flow statements
Able to communicate analysis clearly and pragmatically to non-technical stakeholders
Comfortable operating in a fast-paced, evolving work environment
The interview process:
A quick remote call with one of the hiring team and follow-up 15 minute cognitive assessment.
A technical take home task and remote case study interview.
A 60 minute on site interview with finance senior leadership and other members of the team.
A 30 minute remote session with a member of the senior leadership team.
