Contract Financial Modeler — Private Equity, Credit & Debt

This is a hands-on Excel modeling role focused on building detailed financial models from scratch, with a primary emphasis on private equity, credit, and debt modeling.

The role involves training AI systems to replicate the decision-making processes of financial professionals, including how models are constructed, assumptions are structured, and investment/lending decisions are made.

Key Responsibilities:

• Building financial models from a blank spreadsheet
• Structuring transactions, assumptions, and drivers
• Linking full model flows: operations → cash flow → debt → returns
• Debugging and improving model accuracy
• Explaining why a model works, not just producing outputs

Excluded Responsibilities:

• Dashboards, reporting, or data visualization
• FP&A focused on reporting, budgeting, or variance analysis
• Reviewing credit without building models
• High-level strategy without hands-on modeling
• Using AI tools to generate models

Primary Focus: Private Equity

Experience at a private equity fund (direct investing, buy-side diligence, and portfolio company modeling) is strongly preferred. Candidates should have built multiple full LBO models from scratch, including:

• Sources & uses and transaction assumptions
• Multi-tranche debt schedules (revolver, term loans, mezzanine, cash sweep)
• Returns analysis: IRR, MOIC, and value creation drivers
• Operating models with sensitivities, downside cases, and exit scenarios
• Add-ons, dividend recaps, or refinancing scenarios (a plus)

Also Hiring: Credit & Lending

• 3-statement borrower models
• Cash flow-based underwriting and debt capacity analysis
• Covenant modeling (leverage, DSCR, interest coverage) and headroom testing
• Downside and stress scenarios that drive lending decisions

Also Hiring: Debt & Leveraged Finance

• Debt sizing and structuring
• Amortization, PIK, cash sweeps, and refinancing mechanics
• Private credit / direct lending deal models
• Recovery analysis and payment waterfalls

What You'll Do:

• Build PE, credit, and debt models from scratch in Excel
• Review and debug models built by others
• Identify incorrect assumptions, broken logic, and risks
• Analyze how operating performance flows through to debt service and returns
• Clearly explain financial logic and decision-making

What Makes a Strong Candidate:

• 2–10 years in finance roles with heavy, hands-on modeling
• Buy-side experience at a PE fund, including deal diligence and investment committee materials backed by your own models
• Direct experience in private equity, leveraged finance, sponsor coverage, private credit, direct lending, or credit underwriting
• Proven ability to build models from a blank spreadsheet (no templates)
• Experience building models that drove real investment or lending decisions
• High attention to detail and model accuracy
• Strong communication skills (English required)

Not a Fit If:

• Your experience is primarily reviewing models, making small updates, or producing pitch decks, comps, or outputs
• Valuation or DCF work without debt schedules or returns analysis
• FP&A reporting, budgeting, or dashboards
• Credit review without hands-on model building
• BI tools, analytics workflows, or reporting automation

Or:

• You have not built full financial models yourself
• You rely heavily on templates, tools, or AI to generate models
• You are not comfortable explaining your work in detail

Interview Process:

All candidates complete a ~3-hour take-home Excel modeling exercise.

• Designed to reflect real-world modeling work
• Must be completed independently in Excel
• Candidates who are hired will be paid for this exercise

Final Note:

Applications are especially encouraged from private equity professionals, leveraged finance and sponsor coverage bankers, and private credit or direct lending professionals who have built full models from scratch. Investment banking or corporate finance candidates will be considered only with top-tier backgrounds and hands-on LBO, debt, or credit modeling experience.