Financial Modeler

About the role

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

Responsibilities

• 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.

Benefits

Additional Information

Role: Contract Financial Modeler (Excel) Hours: 15-40 hours/week - Flexible, asynchronous work. ------------------ 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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Company Intel

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