Build Financial Models That Actually Work
Real analysts don't memorize formulas. They understand the logic behind valuation, cash flow, and decision frameworks. Our program walks you through building models from scratch — the way investment teams expect them to be built.
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How We Got Here
Started in 2019 by three analysts tired of watching graduates struggle with basic model structures. We've spent the last six years refining what actually matters when you're sitting across from a CFO or reviewing acquisition targets.
Foundation Built
Three former investment bankers launched the program after noticing how many bright graduates couldn't structure a three-statement model properly. We started with twelve students in a shared office space in Brisbane.
Real-World Integration
Added case studies from actual deals and valuation work. Students stopped asking theoretical questions and started building models that matched industry standards. Our first cohort landed roles at mid-tier advisory firms.
Program Expansion
Introduced specialized tracks for equity research, corporate development, and private equity. Alumni networks started connecting participants with hiring managers who valued practical modeling experience over academic credentials alone.
Current Focus
Running year-round cohorts with emphasis on scenario analysis and sensitivity modeling. Next intake opens September 2025 for those looking to transition into analyst roles or strengthen their existing skillset.
What You'll Actually Learn
Skip the textbook theory. This program focuses on building working models that follow industry conventions and stand up to scrutiny during review sessions.
Model Architecture
Structure integrated financial statements. Learn how assumptions flow through P&L, balance sheet, and cash flow without circular references or hard-coded values.
Valuation Mechanics
Build DCF models with proper terminal value calculations. Understand when comparable company analysis makes sense and when it doesn't.
Scenario Planning
Create flexible models that handle multiple cases without breaking. Set up data tables and sensitivity analyses that executives actually find useful.
LBO Framework
Model leveraged buyouts with debt schedules and return calculations. Understand how private equity teams evaluate acquisition targets and structure deals.
Merger Models
Build accretion/dilution analyses that account for synergies, transaction costs, and financing structures. Map out deal mechanics from both buyer and seller perspectives.
Model Auditing
Learn to review and debug complex models. Spot common errors, trace formula logic, and document assumptions properly for teams reviewing your work.
Models Built on Real Cases
Every assignment uses sanitized data from actual transactions, earnings reports, and valuation assignments. You'll work through the same challenges professional analysts face when building models under time pressure.
- Extract financial data from annual reports and convert it into model-ready formats
- Build operating assumptions that reflect business economics rather than arbitrary growth rates
- Structure worksheets that other analysts can navigate and audit without constant clarification
- Present valuation ranges with clear methodology documentation and supporting schedules
- Handle feedback from senior reviewers and adjust models based on realistic business constraints
Siobhan Kellaway
Lead Instructor
Learning Through Repetition
Most people think financial modeling is about memorizing shortcuts. It's not. It's about understanding how businesses generate cash and being able to represent that accurately in a spreadsheet. Once that clicks, the technical stuff becomes straightforward.
Siobhan spent eight years at a mid-market M&A advisory before joining veloryntiva in 2021. She's reviewed hundreds of models built by junior analysts and knows exactly where people get stuck.
Her teaching focuses on building models incrementally — starting with simplified versions and adding complexity only when the foundation is solid. Students work through exercises multiple times until the logic becomes second nature.
The program runs in twelve-week cycles with cohorts starting in March and September each year. Class sizes stay small because model review sessions require individual feedback. If you're looking to develop practical modeling skills for analyst roles, reach out to discuss whether the timing works for your schedule.