January 15, 2026

Financial Modelling Specialist

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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.

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 β€” 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.

Method Of Application

Qualified and interested applicant should click the APPLY HERE LINK below to start filling out the application form and submit it before the deadline.

APPLY HERE

Deadline: Not Disclosed

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