Financial Modelling Specialist

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 the company

The company 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 the company’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.

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