Competitive USD pay, based on experience | 100% remote | Full-time contract About the Opportunity We’re hiring on behalf of a U.S.-based technology company developing advanced AI systems for financial modeling and investment decision-making. In this role, you’ll build financial models from a blank Excel sheet and walk through your reasoning step by step, showing how real investment and lending decisions get made. Private equity modeling is our top priority, with credit and debt modeling close behind. What You’ll Work On Building PE, credit, and debt models from scratch in Excel (no templates) Structuring transactions, assumptions, and key drivers Linking the full model flow: operations → cash flow → debt → returns Reviewing and debugging models built by others, spotting flawed assumptions, broken logic, and hidden risks Explaining why a model works, not just what it outputs Modeling Experience We’re Looking For Private Equity / LBO Sources & uses and transaction assumptions Multi-tranche debt schedules (revolver, term loans, mezzanine, cash sweep) Returns analysis: IRR, MOIC, value creation bridges Operating models with sensitivities, downside cases, and exit scenarios Add-ons, dividend recaps, or refinancings (a plus) Credit / Debt Covenant modeling (leverage, DSCR, interest coverage) and headroom testing Downside and stress cases that drive a lending decision Amortization, PIK, cash sweeps, and refinancing mechanics Private credit / direct lending deal models Recovery analysis and payment waterfalls You’re a Strong Fit If You Have 2–10 years in finance roles with heavy, hands-on modeling Buy-side PE experience (deal diligence, portfolio company modeling, IC materials backed by your own models) – strongly preferred Background in private equity, leveraged finance, sponsor coverage, private credit, direct lending, or credit underwriting Models you built that drove real investment or lending decisions Sharp attention to detail and strong written and spoken English Who We’d Love to Hear From PE professionals, leveraged finance and sponsor coverage bankers, and private credit / direct lending professionals. CFA, CA, MBA Finance, or equivalent backgrounds are welcome. Investment banking or corporate finance candidates will be considered only with top-tier backgrounds and hands-on LBO, debt, or credit modeling experience. Hiring Process Shortlisted candidates complete a ~3-hour take-home Excel modeling exercise, done independently and designed to mirror real-world deal work.
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