Private Equity Financial Modeler

Bullpen Talent

5d•Remote

About The Position

This is a hands-on Excel modeling role supporting a U.S.-based technology company that is building advanced AI systems focused on financial modeling and decision-making. The work aims to train AI to reflect how financial professionals build models from scratch, structure assumptions, and use models to make decisions. The modeler will build detailed, end-to-end financial models from blank spreadsheets and explain the logic behind them. The role prioritizes candidates with specific private equity experience who can construct complete models, assess how assumptions and model flows interact, and clearly describe why a model works rather than only producing outputs or dashboards. The role is remote and contract full-time; highly qualified candidates may be considered for part-time roles.

Requirements

2–10 years of experience in finance roles with heavy modeling exposure, with priority focus on Credit, Debt, and Private Equity.
Proven ability to build complete financial models from a blank spreadsheet in Excel without using templates, tools, or AI.
Hands-on experience building end-to-end models, such as full LBO models with sources and uses, debt schedules, and returns including IRR and MOIC.
Experience building decision-driving models and a strong understanding of how models are used in real financial decisions.
High attention to detail, model accuracy, and strong communication skills in English.
Ability to clearly explain work and financial logic in detail.

Nice To Haves

Asset-Based Lending (ABL) modeling experience, including borrowing base models, advance rates, eligibility, dilution, and collateral-driven lending.
Structured Finance or Asset-Backed Securities (ABS) modeling experience, including cash flow waterfall models, tranching, credit enhancement, loss assumptions, and prepayment/default scenarios.
Risk and Portfolio Modeling experience, including scenario/stress-testing models, loss modeling for default/recovery/exposure, and portfolio-level analysis.

Responsibilities

Build financial models from scratch in Excel for different use cases.
Structure assumptions, drivers, and logic, and link complete model flows including cash flow, debt, returns, and 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.