Bullpen Talent
Financial Modeler
2mo ago
WorldwideRemoteexcelfinancial modeling
Contract role building detailed financial models from scratch using Excel for a U.S.-based AI technology company in finance.
How to apply
- All candidates will 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
Other
- We are partnering with a U.S.-based technology company building advanced AI systems focused on financial modeling and decision-making.
- The goal is to train AI to think like real financial professionals — how models are built from scratch, how assumptions are structured, and how decisions are made using financial models.
- This is a hands-on Excel modeling role. You will be expected to build detailed financial models from a blank spreadsheet and clearly explain your logic.
- We prioritize strong model builders over specific domain experience. Candidates from investment banking, private equity, credit, or corporate finance are encouraged to apply if they have built full models from scratch.
- Building financial models from a blank spreadsheet
- Structuring assumptions, drivers, and logic
- Linking full model flows (cash flow, debt, returns, scenarios)
- Debugging and improving model accuracy
- Explaining why a model works, not just producing outputs
- Dashboards, reporting, or data visualization
- Traditional FP&A roles focused primarily on reporting, budgeting, or dashboards without hands-on financial model building
- Reviewing credit without building models
- High-level strategy without hands-on modeling
- Using AI tools to generate models
- Strong candidates have built full financial models end-to-end (e.g., LBO, 3-statement, credit, or project finance models) and can clearly explain every component of the model.
- You must have deep, hands-on experience building full financial models from scratch in at least one of the following areas. We value strong model builders who can adapt across domains.
- Credit & Lending Models
- - 3-statement borrower models
- - Cash flow-based lending and debt sizing
- - Covenant modeling (DSCR, leverage, coverage ratios)
- - Loan structuring and scenario analysis
- Private Equity (LBO Modeling)
- - Full LBO models built from scratch
- - Sources & uses, debt schedules, returns (IRR/MOIC)
- - Operating models with sensitivities and exit scenarios
- Asset-Based Lending (ABL) (optional / less common)
- - Borrowing base models (AR, inventory)
- - Advance rates, eligibility, dilution
- - Collateral-driven lending structures
- Structured Finance / Asset-Backed Securities (ABS) (optional / less common)
- - Cash flow waterfall models
- - Tranching, credit enhancement, loss assumptions
- - Prepayment/default scenario modeling
- Risk & Portfolio Modeling
- - Scenario and stress-testing models
- - Loss modeling (default, recovery, exposure)
- - Portfolio-level analysis driven by model outputs
- Note: Candidates with strong experience in LBO or credit modeling are highly relevant, even without direct ABL or structured finance experience.
- Build financial models from scratch in Excel across different use cases
- Review and debug models built by others
- Identify incorrect assumptions, broken logic, and risks
- Analyze relationships across cash flow, debt, and returns
- Clearly explain financial logic and decision-making
- Translate real-world financial thinking into structured outputs
- 2–10 years of experience in finance roles with heavy modeling exposure
- Proven ability to build models from a blank spreadsheet (no templates)
- Experience building decision-driving models (not just outputs or summaries)
- Strong understanding of how models are used in real financial decisions
- High attention to detail and model accuracy
- Strong communication skills (English required)
- Your experience is primarily:
- Reviewing modes, making small updates, focused on pitch decks, comps, or outputs without building full models
- 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
- Candidates from investment banking, private equity, debt, credit, corporate finance, treasury, quantitative finance, or related modeling-heavy backgrounds are encouraged to apply if they have built full financial models from scratch, regardless of your specific domain background.