[Hiring] Private Equity Financial Modeler @Bullpen Talent

Role Description

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 Excel modeling role. You will be expected to build detailed financial models from a blank spreadsheet and clearly explain your logic. We prioritize candidates who can build full models end-to-end and explain why a model works, rather than just producing outputs or dashboards. We're focusing on strong specific domain experience in Private Equity.

• 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

Qualifications

• 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 full financial models from a blank spreadsheet/scratch in Excel without using templates, tools, or AI
• Hands-on experience building full end-to-end models (such as full LBO models with sources & uses, debt schedules, and returns/IRR/MOIC)
• Experience building decision-driving models and 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 your work and financial logic in detail

Requirements

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

Benefits

• Flexible, asynchronous work hours
• Opportunity to work at the intersection of AI technology and advanced financial modeling