AI is rewriting junior banking. But you still need the core technical skills — to ace the interview and to actually run the deal. 13 modules. Real case studies. Built for how the job works now.
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AI is transforming what junior bankers do every day. But the skills you need to break in — and to do the job well — haven't gone away. They've become more important.
But your MD still expects you to walk through every assumption. If you can't explain the WACC, the exit multiple, or why the sensitivity table breaks — the AI didn't help you.
Walk me through a DCF. What happens to the EV bridge when debt increases? How does depreciation flow through the statements? These questions aren't going anywhere.
The junior analyst role isn't disappearing — it's evolving into the person who orchestrates AI tools and catches their mistakes. That requires deeper understanding, not less.
You need the technical foundation — not to do the work manually, but to direct it, verify it, and own the output.
13 focused modules covering every technical concept tested in IB interviews and used on the job. Practical understanding, not memorization.
Income statement, balance sheet, and cash flow statement linkages. How changes cascade across all three.
Operating, investing, financing. Free cash flow, capex, working capital adjustments.
Lease accounting, treatment under IFRS vs. GAAP, impact on financial ratios and enterprise value.
Comps, precedent transactions, DCF, LBO — when to use each and how they fit together.
Unlevered free cash flow, WACC, terminal value, sensitivity analysis. The full build from scratch.
Enterprise value to equity value, when to use EV vs. equity multiples, diluted share count.
Buy-side vs. sell-side, deal timeline, key documents, synergy analysis.
Sources & uses, debt schedules, cash flow sweeps, returns analysis. Paper LBO to full model.
Deal impact on EPS, purchase price allocation, goodwill, pro-forma adjustments.
Return on invested capital, capital allocation, economic value added — the PE lens on value.
The most-asked technical questions, frameworks for structuring answers, and how to handle curveballs.
Interactive case studies drop you into real IB scenarios — not textbook problems. Make decisions, work with financial models, and see the consequences play out.
Decision-tree scenarios
Your choices shape the outcome — just like on a real deal
Real financial model assets
Work with actual LBO models, DCF outputs, and trading comps
Realistic pressure
Sunday night, MD pinging you, pitch book due at 7am — can you perform?
100+ questions across every core topic. Get a personalized breakdown showing exactly where you're strong, where you're weak, and what to study next.
Preparing for superday technicals and want to learn the real concepts — not just memorize 400 flashcard answers.
Day 1 is coming fast. You need to understand what's actually happening in the models you're being asked to build and check.
Refresh your technicals and fill the gaps before on-cycle interviews or your first day at the fund.
If you're using AI to build models, you need to know enough to validate its output. This gives you that foundation.
No tiers. No upsells. Everything included.
Whether you're prepping for interviews or already on the desk — the faster you build real technical depth, the better you'll perform.
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