Build Financial Models That Drive Real Decisions

Most spreadsheets tell you what happened yesterday. We'll show you how to build models that predict what happens tomorrow — and why finance teams across Australia rely on them for strategic planning.

18 months Comprehensive Program
60+ hours Practical Work
Live cases Industry Projects
Financial professional analyzing complex data models and forecasting scenarios

How We Approach Financial Modeling

Building models isn't about fancy formulas. It's about understanding what questions need answers, and then structuring data to provide those answers consistently.

Business Logic First

Before touching Excel, you'll learn to map revenue drivers, cost structures, and operational constraints. Models fail when they don't reflect how the business actually works.

  • Revenue architecture analysis
  • Cost behavior patterns
  • Operational bottleneck identification
  • Assumption documentation methods

Scenario Testing

One forecast is just wishful thinking. You'll build frameworks that test multiple scenarios simultaneously — best case, worst case, and the twelve variations in between that actually matter.

  • Sensitivity analysis frameworks
  • Monte Carlo simulation basics
  • Stress testing protocols
  • Variance explanation techniques

Communication Design

Your model might be brilliant, but if executives can't understand the output in ninety seconds, it's useless. We teach you to present numbers that drive action.

  • Dashboard design principles
  • Executive summary structure
  • Visual data storytelling
  • Presentation deck optimization

What You'll Actually Learn

The program runs from September 2025 through February 2027. Each phase builds on the previous one, taking you from foundation concepts to complex valuation work.

Foundation & Structure

First six months focus on getting your technical foundation solid. Not just Excel functions — the thinking patterns that separate decent models from reliable ones.

Financial Statement Mechanics

How P&L, balance sheet, and cash flow actually connect. Where numbers come from and where they go. The links most people miss.

Model Architecture

Building structures that don't break when assumptions change. Input separation, calculation flow, error checking that catches problems before they reach management.

Working Capital Analysis

Cash conversion cycles, days outstanding, inventory turns. The operational metrics that show whether growth is sustainable or dangerous.

Detailed spreadsheet analysis showing financial statement connections and data flow

Forecasting & Valuation

Months seven through twelve move into forward-looking work. Building projections that hold up under scrutiny and valuation models that reflect economic reality.

Revenue Forecasting

Driver-based models that connect operational metrics to financial outcomes. Unit economics, pricing power, market saturation analysis.

DCF Methodology

Discounted cash flow from first principles. WACC calculation, terminal value estimation, sensitivity analysis. When DCF works and when it misleads.

Comparable Analysis

Using market multiples intelligently. Peer selection, normalization adjustments, understanding when comps tell you something useful versus just noise.

Financial forecasting models with multiple scenario analysis and valuation frameworks

Skills That Transfer Beyond Spreadsheets

Financial modeling is really business analysis. The Excel part is just documentation. These are the thinking skills that make you valuable regardless of which software your next employer uses.

Assumption Validation

Learning to challenge your own thinking. Where do growth rates come from? Are historical patterns still relevant? What changed in the market that makes last year's data unreliable?

Risk Identification

Spotting what could break the model. Regulatory changes, competitive threats, operational constraints. Building in safeguards before problems surface.

Stakeholder Translation

Converting financial concepts for different audiences. What the CEO needs versus what operations needs versus what the board needs. Same model, different stories.

Version Control

Managing model evolution without losing your mind. Documentation practices, change tracking, audit trails. Boring but essential when models drive million-dollar decisions.

Collaborative business analysis session with financial data review and strategic planning

Perspectives From Graduates

Two people who went through the program and now use these skills daily. Their experience won't be yours, but it might give you a sense of what changes after eighteen months of focused work.

Marcus Ellison professional portrait

Marcus Ellison

FP&A Manager, Retail Sector

I came in knowing basic Excel. Left with models that my CFO actually trusts for board presentations. The scenario planning framework alone changed how our leadership team thinks about expansion decisions. Took me about eight months before things really clicked, but once they did, the work got significantly more interesting.

Petra Volkov professional portrait

Petra Volkov

Investment Analyst, Private Equity

The valuation work was more nuanced than I expected. Not just plugging numbers into templates, but understanding when different approaches make sense and when they don't. We use the sensitivity analysis techniques constantly in due diligence — helps separate realistic projections from optimistic fiction. Program's pretty demanding though. Set aside proper time for it.

Program Structure

The next cohort begins September 2025. Eighteen months total, structured in progressive phases. You can't skip ahead — each stage builds essential understanding for what comes next.

1
September – November 2025

Technical Foundation

Financial statement analysis, Excel proficiency, basic modeling structure. Getting everyone to the same baseline regardless of where they're starting.

2
December 2025 – March 2026

Model Construction

Building integrated three-statement models from scratch. Working capital mechanics, debt schedules, circularities. Where most people realize modeling is harder than it looks.

3
April – July 2026

Forecasting & Valuation

Driver-based projections, DCF analysis, comparable company methods. Moving from historical analysis to forward-looking work that guides decision-making.

4
August 2026 – February 2027

Applied Projects

Real company cases, industry-specific challenges, presentation development. Taking everything you've learned and applying it to situations that mirror actual work environments.

September 2025 Intake Opens May

Applications for the next cohort open in May 2025. Limited to 28 participants to maintain proper instructor access. If you're interested, reviewing the full curriculum details now helps you decide if the time commitment makes sense for your situation.