
Posted 1 month ago
Financial Modeler
AI Summary
Hands-on Excel financial modeling role focused on building models from scratch (LBO, credit, ABL, ABS, or risk) and explaining decision logic; not FP&A, dashboards, or BI tools.
About this role
Role: Contract Financial Modeler (Excel)
Hours: 15–40 hours/week · Flexible, asynchronous work.
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This is a hands-on Excel financial modeling role. Build models from scratch (LBO, credit, ABL, ABS, or risk).
Not FP&A, reporting, dashboards, or BI tools.
If you are not a strong Excel model builder, this will not be a fit.
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Overview
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.
What This Role Is (and Is Not)
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
Areas We Are Hiring For
You must have strong, hands-on modeling experience in at least one of the following areas:
(1) Credit & Lending Models
Built 3-statement borrower models
Cash flow-based lending and debt sizing
Covenant modeling (DSCR, leverage, coverage ratios)
Loan structuring and scenario analysis
(2) Private Equity (LBO Modeling)
Built full LBO models from scratch
Sources & uses, debt schedules, returns (IRR/MOIC)
Operating models with sensitivities and exit scenarios
(3) Asset-Based Lending (ABL)
Built borrowing base models (AR, inventory)
Advance rates, eligibility, dilution
Collateral-driven lending structures
(4) Structured Finance / Asset-Backed Securities (ABS)
Built cash flow waterfall models
Tranching, credit enhancement, loss assumptions
Prepayment/default scenario modeling
(5) Risk & Portfolio Modeling
Built scenario and stress-testing models
Loss modeling (default, recovery, exposure)
Portfolio-level analysis driven by model outputs
What You’ll Do
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
What Makes a Strong Candidate
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)
Not a Fit If
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
Interview Process (Important)
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.