FP&A Analyst in City of Westminster

OVERVIEW OF 73 STRINGS

73 Strings is an innovative platform providing comprehensive data extraction, monitoring, and valuation solutions for the private capital industry.

The company's AI-powered platform streamlines middle-office processes for alternative investments, enabling seamless data structuring and standardization, monitoring, and fair value estimation at the click of a button. 73 Strings serves clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit.

Our 2025 $55M Series B, the largest in the industry, was led by Goldman Sachs, with participation from Golub Capital and Hamilton Lane, with continued support from Blackstone, Fidelity International Strategic Ventures and Broadhaven Ventures.

About the Role

73 Strings has been consistently growing and innovating.

Our FP&A function needs to keep pace - and that means bringing in a sharp, commercially curious analyst who wants to do more than process numbers.

This role sits at the centre of financial planning, reporting, and analysis for a scaling AI Saa S business.

You'll report to the Head of FP&A, supporting the financial infrastructure that underpins board reporting, investor communications, and strategic decision-making.

If you're part-qualified (ACCA, CIMA, or ACA), intellectually curious, and want exposure to the full finance stack of a high-growth company, we’d love to hear from you.

Key Responsibilities

• Support the monthly close process - variance analysis, management accounts, and board-ready reporting packs.
• Maintain the rolling forecast model across ARR, headcount, and cash runway; track Saa S metrics (ARR, NRR, CAC payback, gross margin) and flag movements that need explaining.
• Analyse revenue performance by product, cohort, and segment - identifying trends, not just reporting them.
• Partner with function leads across the business to build, monitor and maintain budgets and forecasts - translating their plans into financial terms and their results back into business language.
• Identify reporting inefficiencies and fix them; use AI tools actively to automate repetitive analysis, draft commentary, and accelerate model-building.
• Flag risks and opportunities before they show up in the financials, using early signals from the business rather than waiting for month-end close.
• Support other ah doc projects as required by the business.

Requirements

• Part-qualified in ACCA, CIMA, or ACA - actively studying, CIMA preferred. Study support (exam costs, study leave provided).
• 2-3 years in an FP&A, finance, or commercial analyst role (Saa S or tech experience a plus).
• Comfortable in Excel at an advanced level - model-building, not just model-reading.
• Hands-on experience using AI tools in a finance context - Claude, Chat GPT, Copilot, or similar - to speed up analysis, draft output, or handle repetitive tasks.
• Exposure to Net Suite or a comparable ERP, and CRM tools such as Hub Spot - comfortable pulling data, reconciling outputs, and working across systems.
• Analytical instinct: you don't just describe numbers, you ask why they moved.
• Able to work with ambiguous data and state your assumptions clearly.
• Strong attention to detail without losing sight of the commercial story.
• Effective communicator - you can translate financial output into plain language for non-finance stakeholders.
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