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bullpen talent

Financial Modeler – Credit and Debt

bullpen talent

. Serve as a Credit & Debt subject-matter expert for an artificial intelligence company developing frontier AI systems for institutional financial reasoning and quantitative analysis .

Posted 11/6/2026full-timeRemote • MexicoJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in constructing complex financial models and debt schedules, with a strong command of credit risk analysis and cash flow modeling under US GAAP/IFRS. Proficient in articulating credit rationale and structural protections in written form.

Highest-signal resume keywords
Financial ModelingCredit Risk AnalysisExcel ModelingDebt StructuringCash Flow Analysis

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Financial Modeling StandardsDebt Schedule ConstructionCash Flow WaterfallsCovenant Compliance Checks3-Statement Financial StatementsSensitivity AnalysisStress TestingCollateral MechanismsRepayment ModelsQuantitative Analysis
Soft Skills
Clear CommunicationAnalytical ThinkingAttention to Detail
Tools & Technologies
Excel
Industry Keywords
Private DebtLeveraged FinanceCredit FundsDirect LendingProject FinanceCredit RiskAsset-Based LendingStructured FinanceCovenantsUS GAAP

About the role

Key responsibilities & impact
  • Serve as a Credit & Debt subject-matter expert for an artificial intelligence company developing frontier AI systems for institutional financial reasoning and quantitative analysis
  • Construct integrated credit, debt sizing, and repayment models completely from scratch in Excel
  • Build dynamic multi-tranche debt schedules covering senior secured, mezzanine/subordinated, revolving facilities, unitranche, and PIK notes
  • Model mandatory amortization, cash sweeps, interest capitalization, and prepayment mechanics
  • Model and stress-test CFADS, DSCR, LLCR, PLCR, interest coverage, and net debt-to-EBITDA across varying business cycles
  • Construct sensitivity tables and downside scenarios evaluating default probabilities, covenant headroom, breakeven cash flows, and liquidation/recovery outcomes
  • Build collateral and borrowing base mechanisms, including eligible receivables/inventory, advance rates, concentration limits, and reserves
  • Provide structured written explanations in English covering credit rationale, structural protections, formula mechanics, and accounting relationships
  • Produce completed workbooks, formulas, and step-by-step logic as ground-truth datasets for training, benchmarking, and fine-tuning AI models

Requirements

What you’ll need
  • 2–8+ years of direct experience in Private Debt, Credit Funds, Leveraged Finance, Direct Lending, Project Finance, Rating Agencies, or Credit Risk / Underwriting
  • Proven ability to build full, auditable debt schedules and cash flow models from a blank Excel workbook
  • Disciplined financial modeling standards, such as FAST or institutional credit equivalents, with zero circularity errors
  • Hands-on experience structuring cash flow waterfalls, principal repayment schedules, covenant compliance checks, and reserve accounts such as DSRA
  • Solid command of 3-statement financial statements under US GAAP / IFRS
  • Understanding of how working capital swings, Capex, 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 articulate credit risk logic, covenants, and mathematical steps in writing
  • Experience with Asset-Based Lending, borrowing bases, advance rates, dilution, and collateral-driven credit facilities preferred
  • Experience with Structured Finance / ABS, tranched waterfalls, loss distributions, credit enhancements, and prepayment/default curves preferred

Benefits

Comp & perks
  • 100% remote and fully asynchronous work arrangement
  • Competitive global pay with consistent monthly contractor compensation
  • Flexible work hours structured around output milestones
  • Opportunity to directly influence frontier AI models in credit analysis
  • True autonomy in structuring working hours around deliverables