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Pavago

Financial Modelling Specialist

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

Job description

Job Title: Financial Modelling Specialist

Position Type: Full-Time, Remote

Working Hours: U.S. client business hours (aligned with prospect time zones and outreach cadences)

About Pavago

Pavago is a global recruitment partner specialising in placing top-tier offshore talent with fast-growing U.S. companies. Our clients expect precision, ownership, and world-class standards from day one. We source elite, high-agency professionals who can work independently, think critically, and operate at a U.S. accounting and financial analysis standard.

We are hiring a Financial Modelling Specialist for a client, who is backed by YC (W 25 ), building an advanced financial and business modelling infrastructure used to train AI systems.

Key Responsibilities

Build complete, end-to-end financial and business models for internal AI training workflows.

Review and refine models built by other analysts for structure, clarity, and accuracy.

Collaborate with the client’s internal team to improve modelling frameworks and documentation.

Participate in regular working sessions to align on modelling standards.

(Optional) Provide structured feedback to junior analysts when needed.

Requirements

3–7+ years of hands-on financial modelling experience, ideally across multiple industries or business models.

Strong command of U.S.-standard accounting, including:

GAAP principles

Revenue recognition

Cash flow alignment

Accrual vs. cash accounting

Forecasting & variance analysis

Preferred backgrounds:

Investment Banking

Private Equity

FP&A / Strategic Finance

Corporate Finance / Consulting

Accounting + modelling hybrid roles

Advanced Excel / Google Sheets capability; able to build, audit, and optimise complex models.

High agency: thrives with loose direction and can create structure independently.

Strong communication skills — clear explanation of assumptions, logic, and model decisions.

Bonus: experience with structured data work, labelling, or AI training datasets.

What the Day-to-Day Looks Like

Take on new modelling assignments with broad instructions and turn them into clean, structured outputs.

Build or refine detailed models (operating models, forecasting, scenario analysis, KPI frameworks, etc.).

Review peer models, identify issues, and propose improvements.

Join short recurring check-ins with the team to maintain consistency and refine standards.

Update frameworks, templates, and modelling documentation as needed.

This is focused, analytical work that rewards precision and clear thinking.

Interview Process

Initial Phone Screening – Quick review of background, communication, and fit.

Zoom Interview with Pavago’s HR Team – Deep dive on experience and expectations.

Short Assignment – A brief modelling task to evaluate structure and fundamentals.

15-Minute Sync with Client Company – Quick alignment on role, expectations, and communication style.

Extensive Modelling Assignment – A more detailed task assessing analytical depth, logic, and modelling quality.

Final Interview with Client Team – Walkthrough of your approach and problem-solving style.

Offer & Background Check – Final step before onboarding.

Originally posted on Himalayas

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

Ready for your next step?Apply on the official website
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