Build and own financial models for multi-billion-dollar AI data center projects, support capital raises, partner on deal pricing and economics, and deliver recommendations to CEO/CFO on capital deployment. Requires building models from scratch used for investment decisions, experience in capital raises or project finance, and moving fast in ambiguous environments.
176k – 209k/yr
On-site5+ YOEFinance & Accounting
About the role
Role Scope
Build and own the financial models behind multi-billion-dollar data center projects, from unit economics per megawatt to full project finance and returns analysis.
Support capital raises across equity and project debt by preparing the models, materials, and diligence responses lenders and investors require to underwrite gigawatt-scale builds.
Partner with the commercial and development teams to price deals, stress-test assumptions, and pressure-check the economics of leases, colocation, and power commitments before they are signed.
Build the forecasting and scenario analysis that ties the forward build pipeline to capital needs, so the company always knows its runway and funding requirements as it scales.
Turn financial analysis into clear recommendations for the CEO and CFO on where to deploy capital and which deals clear the return threshold.
What We're Looking For
You've built financial and operating models from scratch that leadership actually used to make capital allocation or investment decisions.
You've worked on capital raises, project finance, or M&A where your analysis directly supported a transaction that closed.
You've moved fast on ambiguous problems with incomplete data, delivering a defensible number under a deadline rather than waiting for perfect inputs.
You catch flawed assumptions in a model before they reach a decision-maker, and you can explain in one sentence why a deal does or does not pencil.
You write and present analysis clearly enough that a non-finance executive can act on it without a follow-up meeting.
You've owned a recurring financial process (forecast, board reporting, scenario analysis) and made it faster and sharper each cycle.
Bonus: Investment banking, private equity, or infrastructure finance background. Project finance or debt structuring experience. Data center, energy, or real assets exposure. Advanced modeling in Python or SQL.
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