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.
