Role overview

The Human Frontier Collective (HFC) Fellowship at Scale AI brings together leading researchers and domain experts to advance the development of reliable AI systems. As a Finance Fellow, you will apply your financial expertise to help design, evaluate, and interpret advanced generative AI systems while working on high-impact projects that shape the future of AI across the finance domain.

Key responsibilities

Develop and evaluate complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis.
Collaborate in interactive sessions to assess AI model outputs for market relevance and compliance with financial standards.
Provide detailed feedback and recommendations to improve AI capabilities based on your domain expertise.
Contribute to specialized projects in financial modeling, risk assessment, and equity research.
Co-author technical reports and research papers with Scale’s research team to advance understanding of AI in finance.
Engage with an interdisciplinary network of innovators and thought leaders committed to advancing frontier AI.

Requirements

Advanced degree such as a PhD, Master’s, or BBA in Finance, Economics, or related fields.
A minimum of five years of professional experience in financial planning and analysis, investment banking, portfolio management, financial consulting, or equivalent research work.
Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment.
CFA or CPA certification is strongly preferred.
Detail-oriented mindset with innovative thinking and genuine passion for financial technology and collaboration.
Authorization to work in the country where you reside.

What makes this role worth considering

This fellowship offers a unique opportunity to directly shape how advanced AI systems approach complex financial reasoning and decision-making. You will expand your professional influence through research publication, advisory roles, and collaboration with a global network of 80% of whom come from leading institutions, while developing hands-on experience with cutting-edge AI applications in finance. The role provides flexible scheduling with 10–40 hour weekly options, allowing you to balance this work with other commitments.