Build Models That Actually Work
Most analysts struggle with financial models because they're taught formulas, not frameworks. We teach you how seasoned professionals think through problems—from blank spreadsheet to boardroom presentation.
This isn't theory. It's what happens when you spend fifteen years building models for decisions worth millions.
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Taavi Kellermann
Lead Instructor, Financial Analytics
Started building revenue models for a Bangkok fintech startup in 2010. The projections were terrible—I'd confused precision with accuracy, which is something every new analyst does.
Since then, I've worked with investment teams across Southeast Asia, built due diligence models for acquisitions, and fixed more broken forecasts than I can count. The patterns you see after analyzing hundreds of companies? That's what I'm here to share.
People often ask what makes a good financial model. Honestly, it's not the complexity. It's whether someone can open your file six months later and understand your assumptions in under ten minutes. That's the standard we work toward here.
I also contribute to open-source modeling frameworks and occasionally speak at regional finance conferences. But mostly, I just enjoy watching analysts have that moment when advanced concepts suddenly click.
Real Results From Real Work
We track what matters. Not completion rates or satisfaction scores—actual improvements in how participants build and present financial analysis.
Per model build after completing core modules, based on participant self-reporting across 47 analysts
Participants who reduced forecast errors by implementing structured assumption frameworks within 90 days
Senior stakeholders spend less time auditing models built using our documentation standards
How We Actually Teach This
- Start with broken models from real companies. You'll diagnose what went wrong before building anything new. Most programs skip this part, which is why people struggle when they hit actual messy data.
- Work through case studies that replicate the pressure and constraints you'll face professionally. Limited information, conflicting stakeholder requests, tight deadlines—all part of the process.
- Weekly model reviews where I'll tear apart your assumptions and structure. Sounds harsh, but this is how you learn to build defensible analysis. I'll show you exactly what senior analysts look for.
- Access to model templates and frameworks from actual engagements. These aren't theoretical examples—they're simplified versions of what worked in live situations.
- Direct feedback on your specific challenges. Everyone gets stuck on different aspects of modeling. Office hours let us address your exact pain points rather than generic problems.
What You'll Actually Learn
Twelve weeks covering the frameworks that matter. We focus on depth over breadth—you'll master core concepts that apply across industries rather than learning superficial tricks.
Weeks 1-3: Foundation Architecture
Building models that don't break when assumptions change. You'll learn proper structure before touching advanced formulas.
- Assumption documentation frameworks
- Data validation and error prevention
- Model flow and worksheet organization
- Version control and audit trails
Weeks 4-6: Revenue Modeling
How to forecast revenue when you don't have perfect data. Spoiler: you never have perfect data.
- Driver-based forecasting approaches
- Handling seasonality and growth patterns
- Cohort analysis and retention modeling
- Market sizing with incomplete information
Weeks 7-9: Financial Statements
Building integrated three-statement models that actually balance. Then stress-testing them until they break.
- P&L construction and cost structures
- Balance sheet mechanics and working capital
- Cash flow statements and reconciliation
- Circular references and debt schedules
Weeks 10-12: Valuation & Analysis
DCF, comparable companies, precedent transactions. Plus the judgment calls that textbooks don't mention.
- Discount rate selection and WACC
- Terminal value assumptions and sensitivity
- Multiple selection and adjustment
- Scenario planning and risk assessment
Next Cohort Starts September 2025
We're running two sessions—one starting September 8th and another October 13th. Both follow the same twelve-week curriculum with live weekly sessions and asynchronous work.
Limited to 18 participants per cohort so everyone gets proper attention during reviews. Applications open in June.
September 8 - November 28, 2025