Financial Modeler (Credit and Debt)

Bullpen Talent
•Remote

About The Position

A venture-backed artificial intelligence company based in San Francisco is developing frontier AI systems focused on institutional financial reasoning and quantitative analysis. The company aims to train AI to analyze risk, model capital structures, and make underwriting decisions to institutional lending standards. The Financial Modeler will serve as a Credit & Debt subject-matter expert, working entirely from a blank Excel spreadsheet to build, stress-test, and document institutional-grade credit models. Completed workbooks, formulas, and written explanations will be used as ground-truth datasets to train, benchmark, and fine-tune AI models. The role is fully remote and asynchronous, with ongoing commitment of 35–40 hours per week. It is described as a full-time contract position.

Requirements

  • 2–8+ years of direct experience in Private Debt, Credit Funds, Leveraged Finance, Direct Lending, Project Finance, Rating Agencies, or Credit Risk / Underwriting.
  • Demonstrated ability to build full, auditable debt schedules and cash flow models from a blank Excel workbook using disciplined financial modeling standards, such as FAST or institutional credit equivalents, with zero circularity errors.
  • Hands-on experience with cash flow waterfalls, principal repayment schedules, covenant compliance checks, and reserve accounts such as DSRA.
  • Solid command of three-statement financial statements under US GAAP or IFRS, including how working capital swings, capital expenditures, and operational shocks affect cash available for debt service.
  • Availability to commit 35–40 dedicated hours per week on an ongoing basis.
  • Fluent professional English and ability to clearly explain credit risk logic, covenants, and mathematical steps in writing.

Nice To Haves

  • Asset-Based Lending experience modeling borrowing bases, advance rates, dilution, and collateral-driven credit facilities.
  • Structured Finance or ABS experience with tranched waterfalls, loss distributions, credit enhancements, and prepayment or default curves.

Responsibilities

  • Construct integrated credit, debt-sizing, and repayment models from scratch in Excel without pre-built templates, plug-ins, or automation tools.
  • Build dynamic multi-tranche debt schedules for senior secured, mezzanine or subordinated, revolving, unitranche, and PIK debt, including mandatory amortization, cash sweeps, interest capitalization, and prepayment mechanics.
  • Model and stress-test cash flow available for debt service and metrics including DSCR, LLCR, PLCR, interest coverage, and net debt-to-EBITDA across varying business cycles.
  • Build multi-variable sensitivity tables and downside scenarios to evaluate default probabilities, covenant headroom, breakeven cash flows, and liquidation or recovery outcomes.
  • Build collateral and borrowing-base mechanisms, including eligible receivables and inventory, advance rates, concentration limits, and reserves.
  • Write clear, structured English explanations of credit rationale, structural protections, formula mechanics, and accounting relationships embedded in each model.

Benefits

  • Competitive monthly contractor compensation reflecting technical credit-modeling expertise and weekly output.
  • Autonomy to structure working hours around output milestones.
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