Dynamic Financial Modelling

Fintechs facing high-stakes decisions — fundraising, acquisition, or expansion — often model those decisions in static spreadsheets that are outdated before the board meeting starts. Assumptions change, actuals diverge, and every scenario update requires a manual rebuild. A three-statement model or a DCF without live data connections cannot reflect current performance. A build vs buy decision modelled at a point in time gets revisited eighteen months later when actual costs tell a different story. On the other, hand keeping models up to date manually is not feasible.

This solution provides decision-grade financial modelling infrastructure connected to live data — from valuation to platform investment and business model design — built around fintech-specific dynamics, updated automatically as actuals flow in the data base, and structured for board and investor presentation.

WHAT DOES IT SOLVE?

Three-Statement Financial Model

Answers: What does the integrated financial picture look like in real time, and how do current actuals and forward assumptions flow through to cash and balance sheet position?
Contains: Integrated P&L, balance sheet and cash flow model with live data connectivity, fintech-specific revenue and cost drivers, cohort-based revenue build, unit economics integration, operating leverage analysis, working capital and liquidity modelling, automated refresh as actuals update, assumption documentation and audit trail

Multi-Scenario Modelling & Stress Testing

Answers: How does financial performance hold up under different growth, cost and market conditions, and where are the critical vulnerabilities?
Contains: Base, upside and downside scenario construction, stress test simulations across volume shocks, cost escalation, churn spikes and regulatory changes, sensitivity analysis identifying key value drivers, scenario comparison dashboard, probability-weighted outcome modelling, automated scenario refresh as inputs update, board-ready scenario narrative

DCF Valuation & Sensitivity Analysis

Answers: What is the business worth under current assumptions, and which variables move valuation most significantly as actuals evolve?
Contains: Discounted cash flow model with live input feeds and fintech-appropriate discount rate construction, terminal value modelling, sensitivity tables across growth rate, margin, churn and discount rate assumptions, valuation bridge analysis, comparable company benchmarking inputs, investor-ready output packaging

Build vs Buy Financial Decision Model

Answers: What will each strategic path cost over time, when does build become cheaper than buy, and which option maximises long-term value?
Contains: Build cost projection across engineering FTE, infrastructure, third-party APIs and maintenance, buy cost projection across vendor fees, implementation and integration costs, break-even volume and timeline analysis, cost curves under different growth scenarios, sensitivity to key assumptions, net present value comparison across paths

CORE MODULES

Actual to Forecast Variance Analysis

Answers: Where are actuals diverging from budget and forecast, and what is driving the gap?
Contains: Automated actual vs budget comparison across P&L, balance sheet and cash flow, variance decomposition by driver — volume, price, mix, and timing, trend analysis of forecast accuracy over time, rolling forecast update as actuals flow in, early warning alerts for material variances, root cause flagging by business unit and cost centre, board-ready variance narrative

Investor Narrative & Model Audit

Answers: Does the financial model hold up to investor scrutiny, and is it structured to support a live fundraising process?
Contains: Model quality and assumption audit, investor question stress-testing, data room financial narrative, KPI and cohort presentation structuring, valuation defence preparation, board deck financial section design, model refresh protocol for due diligence period

Optimised Capital Allocation

Answers: How should capital be deployed across initiatives to maximise runway and strategic optionality, and how does the picture change as actuals update?
Contains: Burn rate analysis by function and initiative with live data feeds, runway modelling under different spend scenarios, capital allocation optimisation across growth, infrastructure and compliance investment, milestone-based funding trigger modelling, optionality analysis for staged investment decisions

ADVANCED MODULES