[Hiring] Financial Modeler @Bullpen Talent

Role Description

This is a hands-on Excel financial modeling role. Build models from scratch (LBO, credit, ABL, ABS, or risk). Not FP&A, reporting, dashboards, or BI tools. If you are not a strong Excel model builder, this will not be a fit.

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 modeling role. You will be expected to build detailed financial models in Excel and clearly explain your logic. This is not a strategy, reporting, or BI role.

What This Role Is (and Is Not)

This role IS:

• Building financial models from a blank spreadsheet
• Structuring assumptions and drivers
• Linking full model logic (cash flow, debt, returns, scenarios)
• Explaining why a model works, not just producing outputs

This role is NOT:

• Dashboards, reporting, or data visualization
• Reviewing credit applications without modeling
• High-level strategy without hands-on modeling
• Using AI tools to generate models

Areas We Are Hiring For

You must have strong, hands-on modeling experience in at least one of the following areas:

• Credit & Lending Models
  • Built 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)
  • Built full LBO models from scratch
  • Sources & uses, debt schedules, returns (IRR/MOIC)
  • Operating models with sensitivities and exit scenarios
• Asset-Based Lending (ABL)
  • Built borrowing base models (AR, inventory)
  • Advance rates, eligibility, dilution
  • Collateral-driven lending structures
• Structured Finance / Asset-Backed Securities (ABS)
  • Built cash flow waterfall models
  • Tranching, credit enhancement, loss assumptions
  • Prepayment/default scenario modeling
• Risk & Portfolio Modeling
  • Built scenario and stress-testing models
  • Loss modeling (default, recovery, exposure)
  • Portfolio-level analysis driven by model outputs

What You’ll Do

• 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

What Makes a Strong Candidate

• 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)

Not a Fit If

• Your experience is primarily:
  • Investment banking pitch decks or valuation comps
  • FP&A reporting or budgeting only
  • Credit review without building models
  • Dashboards, BI tools, or analytics workflows
• You have not built full financial models yourself
• You rely on templates, tools, or AI to generate models
• You are not comfortable explaining your work in detail

Interview Process (Important)

To ensure skills, all candidates will complete a ~3-hour take-home Excel modeling exercise. The exercise is designed to reflect real-world modeling work. It must be completed independently in Excel. Candidates who are hired will be paid for this exercise. Please only apply if you meet the criteria above.