Financial Modelling Specialist

Ovii's Interpretation of the Role

The Financial Modelling Specialist builds and refines end‑to‑end financial and business models for AI training pipelines, working remotely on U.S. business hours. The role demands strong U.S. GAAP knowledge, advanced Excel/Google Sheets skills, and the ability to work independently with minimal direction.

Role Snapshot

• End‑to‑end financial model creation
• Peer model review and improvement
• Collaboration on modelling standards
• Optional mentorship of junior analysts
• Remote work aligned with U.S. business hours

Must-Have Requirements

• Advanced Excel / Google Sheets
• U.S. GAAP accounting
• Financial modelling experience
• Financial modelling

Nice-to-Have Signals

• Investment Banking background
• Private Equity background
• FP&A / Strategic Finance background
• Corporate Finance / Consulting background
• Experience with structured data or AI training datasets
• Providing feedback to junior analysts (optional)
• Investment Banking
• Private Equity
• FP&A / Strategic Finance
• Corporate Finance / Consulting

Work Setup

• Location: United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States
• Timezone: U.S. client business hours
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown
• Background check: Background Check

Not Specified in JD

• Salary range
• Visa sponsorship
• Relocation
• Travel
• Shift requirement

What You'll Likely Work On

• Build complete financial and business models for AI training workflows
• Review and refine models created by other analysts for clarity and accuracy
• Collaborate with the client’s internal team to evolve modelling frameworks and documentation
• Participate in regular check‑ins to align on modelling standards
• Update templates, frameworks, and documentation as needed
• Optionally provide structured feedback to junior analysts

Good Fit If You Have

• Thrives with loose direction and can create structure independently
• Clear communication of assumptions, logic, and model decisions
• Experience across multiple industries or business models