Finance Professional for AI Model Training

This position offers a unique opportunity to leverage your finance expertise in shaping the future of AI systems. As a Finance Expert, you will contribute to the development of next-generation AI models by providing high-quality, real-world financial insights that enhance how these models learn and perform.

• Provide expert insight and analysis across finance domains such as investment banking, risk management, portfolio management, and corporate financial strategy.
• Evaluate and develop detailed financial valuation models, primarily in xlsx formats, to support various investment theses and scenarios.
• Contribute in-depth knowledge on regulatory compliance tracking and evolving industry standards.
• Deliver high-quality, structured written and verbal feedback on financial workflows, datasets, and methodologies.
• Present complex financial concepts clearly to diverse audiences, ensuring clarity and precision in communication.
• Collaborate with other finance experts to ensure consistency, accuracy, and depth across all project deliverables.
• Engage with AI development teams, providing real-world financial context to optimize training data and model performance.

• 5-10+ years of hands-on experience in finance roles such as Investment Banking Analyst, Corporate Risk Manager, Portfolio/Asset Manager, or Financial Manager.
• Advanced proficiency in building and auditing financial valuation models, especially in xlsx.
• Track record of producing clear, articulate written reports, memos, and presentations for senior stakeholders.
• Demonstrated expertise tracking and interpreting regulatory compliance changes and their impacts.
• Excellent English communication skills (both written and verbal) are essential for this project.
• Strong analytical thinking and attention to detail in complex financial environments.
• Ability to commit at least 10+ hours per week to project tasks and deliverables.

This is a remote, contract position.

Hourly rate ranges from $40 to $65.

Preferred candidates will have experience in the US, Canada, UK, Europe, or LATAM financial sectors, and direct involvement in AI, fintech, or data-driven finance projects. Previous collaboration with cross-functional teams in a remote setting is also advantageous.