Financial Modeler (PE, Credit, Debt)/India

• Contract Financial Modeler — Private Equity, Credit & Debt
• Full-time independent contractor role, 40 hours/week.

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 investment and lending decisions are made using those models.

This is a hands-on Excel modeling role. You will build detailed financial models from a blank spreadsheet and clearly explain your logic.

Our primary need is private equity modeling. Credit and debt modeling are also major priorities.

This role IS:

Building financial models from a blank spreadsheet

Structuring transactions, assumptions, and drivers

Linking full model flows: operations → cash flow → debt → returns

Debugging and improving model accuracy

Explaining why a model works, not just producing outputs

This role is NOT:

Dashboards, reporting, or data visualization

FP&A focused on reporting, budgeting, or variance analysis

Reviewing credit without building models

High-level strategy without hands-on modeling

Using AI tools to generate models

Primary Focus: Private Equity

Experience at a private equity fund (direct investing, buy-side diligence, and portfolio company modeling) is strongly preferred. You should have built multiple full LBO models from scratch, including:

Sources & uses and transaction assumptions

Multi-tranche debt schedules (revolver, term loans, mezzanine, cash sweep)

Returns analysis: IRR, MOIC, and value creation drivers

Operating models with sensitivities, downside cases, and exit scenarios

Add-ons, dividend recaps, or refinancing scenarios (a plus)

Also Hiring: Credit & Lending

3-statement borrower models

Cash flow-based underwriting and debt capacity analysis

Covenant modeling (leverage, DSCR, interest coverage) and headroom testing

Downside and stress scenarios that drive a lending decision

Also Hiring: Debt & Leveraged Finance

Debt sizing and structuring

Amortization, PIK, cash sweeps, and refinancing mechanics

Private credit / direct lending deal models

Recovery analysis and payment waterfalls

What You'll Do

Build PE, credit, and debt models from scratch in Excel

Review and debug models built by others

Identify incorrect assumptions, broken logic, and risks

Analyze how operating performance flows through to debt service and returns

Clearly explain financial logic and decision-making

What Makes a Strong Candidate

2–10 years in finance roles with heavy, hands-on modeling

Buy-side experience at a PE fund, including deal diligence and investment committee materials backed by your own models

Direct experience in private equity, leveraged finance, sponsor coverage, private credit, direct lending, or credit underwriting

Proven ability to build models from a blank spreadsheet (no templates)

Experience building models that drove real investment or lending decisions

High attention to detail and model accuracy

Strong communication skills (English required)

Not a Fit If

Your experience is primarily:

Reviewing models, making small updates, or producing pitch decks, comps, or outputs

Valuation or DCF work without debt schedules or returns analysis

FP&A reporting, budgeting, or dashboards

Credit review without hands-on model building

BI tools, analytics workflows, or reporting automation

Or:

You have not built full financial models yourself

You rely heavily on templates, tools, or AI to generate models

You are not comfortable explaining your work in detail

Interview Process

All candidates complete a ~3-hour take-home Excel modeling exercise.

Designed to reflect real-world modeling work

Must be completed independently in Excel

Final Note

We especially encourage applications from private equity professionals, leveraged finance and sponsor coverage bankers, and private credit or direct lending professionals who have built full models from scratch. Candidates from investment banking or corporate finance will be considered only with top-tier backgrounds and hands-on LBO, debt, or credit modeling experience.