Remote Private Equity Financial Modeler (Excel)

Bullpen Talent LLC; México; Remote; MXN 1,688,000 - 2,251,000; Full time

Benefits offered by this job

Flexible hours

Remote work

Job summary

Bullpen Talent LLC is seeking a Private Equity Financial Modeler (Excel) for a remote, contract full-time role. The candidate will build detailed financial models from a blank spreadsheet and must explain the logic behind every assumption and result.

Experience with end-to-end modeling, including LBOs with debt schedules and IRR/MOIC, is essential. Strong English communication and attention to detail are required for accurate, decision-driving outputs.

Qualifications

• 2–10 years in finance with heavy modeling exposure
• Proven ability to build full financial models from a blank spreadsheet in Excel without templates or AI
• Hands-on experience building end-to-end models (e.g., full LBO models with sources & uses, debt schedules, returns/IRR/MOIC)
• Experience building decision-driving models and understanding their use in real financial decisions
• High attention to detail, model accuracy, and English communication
• Ability to clearly explain work and financial logic in detail

Responsibilities

• Build financial models from scratch in Excel across different use cases
• Structure assumptions, drivers, and logic while linking full model flows (cash flow, debt, returns, scenarios)
• Review, debug, and improve model accuracy by identifying incorrect assumptions, broken logic, and risks
• Analyze relationships across cash flow, debt, and returns
• Clearly explain financial logic, decision‑making, and why a model works
• Translate real‑world financial thinking into structured outputs

Skills

Excel modeling

Financial analysis

LBO modeling

IRR MOIC calculations

English communication

Model debugging

Debt financing understanding

Tools

Excel

Job description

Bullpen Talent LLC is seeking a Private Equity Financial Modeler (Excel) for a remote, contract full-time role. The candidate will build detailed financial models from a blank spreadsheet and must explain the logic behind every assumption and result.

Experience with end-to-end modeling, including LBOs with debt schedules and IRR/MOIC, is essential. Strong English communication and attention to detail are required for accurate, decision-driving outputs.