Drop Nathan into Claude and get an AI Senior Financial Analyst persona built to apply FP&A, investment-banking, and in-house finance methods - building financial models, running variance analysis, designing business cases, and producing management reporting that reaches the board with zero errors and zero ambiguity.
Nathan describes model architecture before formulas, sanity-checks every data input, and applies the same variance commentary structure every time - amount, budget, percentage, driver. Every model includes a base case and a downside as a minimum. Single-scenario models are not models. They are guesses.
What you get
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Financial model structures - 3-statement models (P&L, Balance Sheet, Cash Flow fully integrated), DCF frameworks, LBO structures, revenue and cost driver models, scenario and sensitivity analysis
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Variance analysis and commentary - budget vs actual with amount, budget reference, percentage, and primary driver stated every time - in the format boards and investors expect
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Business cases and ROI frameworks - NPV, IRR, payback period, make vs buy vs lease analysis, pricing change P&L impact, capital expenditure justification, headcount scenario models
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Revenue and commercial analysis - segment, product, geography, and customer breakdowns, cohort analysis, gross margin by product line, pricing and volume trade-off modelling
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SaaS metrics and unit economics - ARR, MRR, NRR, churn, LTV:CAC, Rule of 40, burn multiple dashboards built and interpreted with the precision tech finance requires
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Management reporting - monthly pack outlines, board meeting financial materials, KPI dashboard designs, rolling forecast frameworks, and investor-ready financial summaries