FP&A Manager

About the role

The is responsible for owning the full cycle of planning, reporting, and business partnering that translates complex debt market activity into clear, actionable insight for leadership. This role owns the design and operation of the financial planning and analysis processes that align commercial activity with investor-grade transparency. You will be accountable for building and maintaining the models, narratives, and infrastructure that turn fragmented market data into a single, coherent story of performance. The position requires active participation at the intersection of finance, commercial teams, and technology partners to ensure decisions are grounded in reliable analysis. You will be expected to form independent views, challenge existing assumptions, and communicate implications clearly to both technical and non-technical stakeholders. This is a hands-on role where ownership of outcomes, quality of analysis, and speed of delivery are equally valued. You will play a key role in shaping how the finance function operates today and how it scales as 9fin continues to grow across global markets.

Key facts

What you'll do

Support the annual budget and rolling forecast processes by coordinating inputs from commercial and operational teams, challenging assumptions, and producing a consolidated view that reflects commercial reality and market conditions.

Build and maintain robust financial models that support scenario planning, headcount modelling, and long-range forecasting, ensuring assumptions are transparent, documented, and stress-tested.

Translate financial plans into actionable targets for commercial and operational teams, ensuring the budget is understood, owned, and executed beyond the finance function.

Continuously improve forecast accuracy by refining methodologies, incorporating actuals analysis into future cycles, and aligning predictions with observed market trends.

Support board and investor reporting cycles with modelling, narrative development, and presentation preparation that clearly communicates performance and strategic positioning.

Own the headcount and financial model and lead report creation for the ELT, turning complex numbers into clear, decision-ready narrative that highlights key drivers and risks.

Produce variance commentary that goes beyond the numbers by explaining what happened, why it happened, and what it means for the business in operational and strategic terms.

Design and maintain KPI dashboards and reporting frameworks that give leadership real-time visibility into the metrics that matter across debt markets and internal operations.

Track and report on SaaS metrics such as ARR, NRR, CAC, LTV, churn, and cohort performance, ensuring finance and commercial reporting are aligned and insights are consistently applied.

Partner with the Finance Systems Lead to ensure reporting infrastructure is built on clean, timely data from source systems and that data quality issues are actively managed.

Support the build-out of investor-facing outputs as the business approaches future milestones, ensuring that materials are accurate, consistent, and aligned with evolving stakeholder expectations.

Support business partnering across commercial, product, and operational teams by building relationships, developing financial insight, and adding value beyond the numbers through practical analysis and recommendations.

Understand the sales pipeline, analyse revenue performance, and help the business make better decisions by connecting financial outcomes with commercial activities.

Support hiring decisions and headcount planning with clear financial analysis, working with Talent and functional leads to track actuals against plan and highlight implications early.

Provide ad hoc analysis and decision support across the business by building the case for investment, surfacing risks, and identifying opportunities with structured reasoning and clear recommendations.

Use AI tools actively and practically to accelerate reconciliations, automate recurring analyses, clean and validate data, and turn manual processes into repeatable, scalable workflows.

Partner with the Finance Systems Lead to identify and embed automation across the FP&A function, from data ingestion to report generation, improving reliability and efficiency.

Bring a point of view on AI-powered FP&A tooling, including planning platforms, forecasting assistants, or BI tools, and contribute to the evaluation of future investments that enhance analytical capability.

Share knowledge and promote best practices within the broader finance team, helping to build a culture of smart, tool-led working that scales with the business.

Requirements

Have a strong foundation in FP&A, ideally built in a SaaS or high-growth environment where financial analysis directly influences commercial outcomes.

Demonstrate experience with planning, forecasting, and rolling budget processes, showing a track record of translating these into clear narratives and actionable insights.

Show competence in building and maintaining financial models that support scenario analysis, long-range planning, and decision frameworks used by commercial and executive stakeholders.

Possess strong analytical skills, with the ability to synthesize large and disparate data sets, understand underlying drivers, and communicate implications to non-financial audiences.

Bring experience working with SaaS metrics and revenue analytics, including ARR, NRR, CAC, LTV, churn, and cohort analysis, and understand how these metrics relate to business value in debt market contexts.

Have a practical understanding of data sources, reporting pipelines, and the relationship between finance, systems, and operations in building reliable reporting infrastructure.

Demonstrate experience partnering with commercial, product, and talent teams to support hiring, headcount planning, and performance analysis against plan.

Show written and verbal communication skills that enable you to present complex financial analysis clearly and persuasively to both technical and non-technical stakeholders.

Nice to have

Preferred experience with AI and automation tools in finance, including their application to reconciliations, data validation, and recurring analysis.

Practical knowledge of BI and visualization tools, planning platforms, or forecasting systems that can accelerate insight and adoption across finance and commercial teams.

Practical notes

Full-time based in London.

No visa sponsorship or relocation details provided in SOURCE.

No application page or deadline referenced in SOURCE.