The 3 Financial Models Every Woman in Finance Should Build Before Her First Interview
Most interview prep focuses on memorizing answers. That's backwards.
The candidates who get offers at Goldman, Lazard, KKR, and Blackstone aren't the ones who memorized "walk me through a DCF." They're the ones who built one from scratch and can defend every assumption.
1. A Clean DCF (Discounted Cash Flow)
Not a template you downloaded. One you built cell by cell.
The interviewer will ask: "What's your terminal growth rate and why?"
If your answer is "I used 3% because that's what the template had" — you've already lost.
What to do: Pick a public company. Pull the 10-K. Project 5 years of FCF. Calculate WACC. Build a sensitivity table. The sensitivity table separates analysts from students — it shows you understand valuation is a range, not a number.
2. A Comparable Company Analysis
Comps are how the Street actually prices things day-to-day. The hard part isn't the math — it's selecting the right peer set. Two companies in the same industry can have completely different growth profiles, margin structures, and capital intensity.
What to do: Pick a sector. Find 8-10 companies. Calculate EV/EBITDA, EV/Revenue, and P/E for each. Then explain why the multiples differ. That explanation is your interview answer.
3. A Basic LBO Model
Even if you're targeting investment banking, not PE — you need this. Your PE clients think in IRR, not enterprise value. If you can speak their language, you're more useful on the deal team.
What to do: Find a recent PE take-private deal. Model the sources & uses. Build a simple debt schedule. Calculate the IRR at different exit multiples.
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The pattern: DCF = intrinsic value. Comps = relative value. LBO = buyer's maximum price at target returns. Master all three, and you don't just pass interviews — you understand how deals actually work.
I teach the complete framework — including the career strategy and networking playbook — inside The Equity Accelerator, a 12-week intensive for women breaking into high finance.
