Build Financial Models That Actually Work
Most analysts spend years figuring out what works through trial and error. We've condensed that learning curve into a structured program that teaches you how to build models companies rely on.
Starting September 2025, you'll work through real scenarios that mirror what you'll face in actual finance roles. No theoretical fluff. Just practical skills you can use immediately.
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What You'll Learn Over 11 Months
The program runs from September 2025 through July 2026. We meet twice weekly for three-hour sessions. Between sessions, you'll build models based on real company data.
By month three, you'll understand financial statements well enough to spot inconsistencies. By month six, you're building valuation models. The final quarter focuses on scenario analysis and presenting your work to stakeholders.
We cap groups at 18 people because smaller cohorts mean more feedback on your actual work. You're not watching videos alone at midnight.
Foundation Phase
First four months cover statement analysis, ratio interpretation, and building your first forecasting model. You'll rebuild balance sheets from scratch until the logic becomes automatic.
Application Phase
Months five through eight focus on valuation techniques and modeling complex business scenarios. You'll work with retail, manufacturing, and service company data.
Integration Phase
Final three months combine everything into comprehensive models. You'll present findings, defend assumptions, and refine your work based on peer critique.
Core Skills You'll Develop
These aren't random topics we threw together. Each skill builds on the previous one, and every assignment reinforces what you've learned through repetition with different data sets.
Statement Reconstruction
You'll learn to rebuild financial statements from raw data. This teaches you how numbers connect across documents and why certain accounts behave the way they do.
Forecasting Mechanics
Build projections that actually hold up under scrutiny. We cover driver-based forecasting, sensitivity analysis, and how to adjust when reality diverges from your model.
Valuation Methods
Master DCF, comparable company analysis, and precedent transactions. You'll understand when each method applies and how to triangulate between them.
Scenario Planning
Learn to model base, optimistic, and pessimistic cases. You'll build flexible models that let stakeholders test different assumptions without breaking your formulas.
Model Documentation
Create models others can actually use. This includes clear labeling, assumption pages, and building in error checks that catch problems before they compound.
Presentation Skills
Translate complex models into clear recommendations. You'll practice explaining your work to people who don't live in spreadsheets all day.
Who Teaches This Program
Callum Thorpe
Lead Instructor
I spent twelve years building models for mid-market private equity firms before moving into education. The frustrating part was always bringing new analysts up to speed. They'd come in with degrees but couldn't build a three-statement model that balanced. So I started documenting what actually worked when teaching modeling skills. That documentation became this program. I still consult two days a week because staying current with real work makes me a better instructor.
Henrik Lindqvist
Program Coordinator
I coordinate the logistics and teach the presentation components. My background is corporate finance at manufacturing companies. You learn quickly that even the best model is useless if you can't explain it to operations people who need to make decisions. I focus on helping students translate technical work into clear business recommendations. We spend a lot of time on how to structure your findings so executives actually understand what you're telling them.