Role: Contract Financial Modeler (Excel)
Hours: 15–40 hours/week · Flexible, asynchronous work.
------------------
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 modeling role You will be expected to build detailed financial models in Excel and clearly explain your logic.
This is not a strategy, reporting, or BI role.
This role IS:
Building financial models from a blank spreadsheet
Structuring assumptions and drivers
Linking full model logic (cash flow, debt, returns, scenarios)
Explaining why a model works, not just producing outputs
This role is NOT:
Dashboards, reporting, or data visualization
Reviewing credit applications without modeling
High-level strategy without hands-on modeling
Using AI tools to generate models
You must have strong, hands-on modeling experience in at least one of the following areas:
Built 3-statement borrower models
Cash flow-based lending and debt sizing
Covenant modeling (DSCR, leverage, coverage ratios)
Loan structuring and scenario analysis
Built full LBO models from scratch
Sources & uses, debt schedules, returns (IRR/MOIC)
Operating models with sensitivities and exit scenarios
Built borrowing base models (AR, inventory)
Advance rates, eligibility, dilution
Collateral-driven lending structures
Built cash flow waterfall models
Tranching, credit enhancement, loss assumptions
Prepayment/default scenario modeling
Built scenario and stress-testing models
Loss modeling (default, recovery, exposure)
Portfolio-level analysis driven by model outputs
Build financial models from scratch in Excel across different use cases
Review and debug models built by others
Identify incorrect assumptions, broken logic, and risks
Analyze relationships across cash flow, debt, and returns
Clearly explain financial logic and decision-making
Translate real-world financial thinking into structured outputs
2–10 years of experience in finance roles with heavy modeling exposure
Proven ability to build models from a blank spreadsheet (no templates)
Experience building decision-driving models (not just outputs or summaries)
Strong understanding of how models are used in real financial decisions
High attention to detail and model accuracy
Strong communication skills (English required)
Your experience is primarily:
Investment banking pitch decks or valuation comps
FP&A reporting or budgeting only
Credit review without building models
Dashboards, BI tools, or analytics workflows
You have not built full financial models yourself
You rely on templates, tools, or AI to generate models
You are not comfortable explaining your work in detail
To ensure skills, all candidates will complete a ~3-hour take-home Excel modeling exercise
The exercise is designed to reflect real-world modeling work
It must be completed independently in Excel
Candidates who are hired will be paid for this exercise
Please only apply if you meet the criteria above.

Elite remote talent, human-first partnerships.
Bullpen Talent is a boutique recruiting and staffing partner helping U.S. companies hire exceptional remote professionals from Latin America — fast, flexible, and with care.
We connect you with the top 2% of LATAM talent, working U.S. hours, fluent in English, and ready to make a measurable impact. Our process blends speed with precision, delivering curated candidates in under 21 days without the resume floods or rushed placements you’ve come to expect from traditional recruiting.
Whether you need contract staffing, full-time recruiting, or embedded recruiting support, our approach is built on trust, clarity, and long-term value. We don’t just fill roles — we help you build teams that feel like a true extension of your own.
What Makes Us Different:
Boutique by design — you work directly with senior recruiters.
LATAM specialists — deep knowledge of markets, talent pools, and cultural fit.
Quality over volume — only candidates we’d hire ourselves.
White-glove support — from first interview to post-hire success.
Trusted by growing teams across industries including technology, marketing, real estate, e-commerce, finance, and more.
📍 Locations: Hiring for remote roles in the U.S. and across Latin America.