Corporate Finance Expert / Financial Modeling Expert - Remote
YO AI Labs · Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bermuda, Bolivia, Bonaire, Sint Eustatius and Saba, Brazil, Canada, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Greenland, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Pierre and Miquelon, Saint Vincent and the Grenadines, Sint Maarten (Dutch part), Suriname, Trinidad and Tobago, Turks and Caicos Islands, United Kingdom, United States, United States Minor Outlying Islands, Uruguay, Venezuela, Virgin Islands, British, Virgin Islands, U.S. · 2026-11-07
About this role
Job Title: Corporate Finance & Financial Modeling Expert
Role Type: Contractor
Location: Remote (US/Canada preferred; UK and Latin America considered)
Time Commitment: 10+ hours/week; 20+ preferred
Job Overview
We are seeking experienced finance professionals to build realistic financial tasks and use AI agents to develop and evaluate professional financial deliverables.
Key Responsibilities
• Build realistic finance environments with financial data and reference documents.
• Design tasks involving FP&A, valuation, forecasting, and financial modeling.
• Use AI agents to create and validate financial models and analyses.
• Develop task instructions and objective evaluation criteria.
Required Qualifications
• 5+ years of experience in FP&A, corporate finance, valuation, or financial modeling.
• Proven experience developing financial models and business deliverables.
• Hands-on experience with agentic AI tools such as Claude Code, Cursor, Codex, or Claude Cowork.
• Strong analytical and financial modeling skills.
Preferred Qualifications
• Experience in investment banking, private equity, or Fortune 500 finance teams.
• Transaction analysis or AI evaluation experience.
• Experience developing review standards or training materials.
Selection Process
• Application and screening questions.
• AI interview.
• Profile review.
• Onboarding with the Talent Operations team.
Originally posted on Himalayas
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