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NYC Staffing

Human Frontier Collective Fellow - Finance

NYC Staffing, New York, New York, United States, 10001

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HFC Finance Fellow

The Human Frontier Collective (HFC) at Scale AI brings together domain experts, including PhDs, postdocs, advanced researchers, and elite professionals across diverse fields, to engage directly in pioneering generative AI research. As an HFC Finance Fellow, you will directly shape and enhance AI models designed for real-world financial analysis, valuation, and accounting applications. This role provides a unique opportunity to leverage and expand your expertise in finance through hands-on experience with cutting-edge AI technology, driving innovation in investment analysis, portfolio management, and corporate finance. What You'll Do: Develop and evaluate complex financial scenarios. Interactive AI model testing. Directly influence AI capabilities. Specialized finance AI projects. Thought leadership in financial AI. Networking and professional development. Who Should Apply: Educational background: BBA, MBA, MS in Finance, Economics, or related fields. Certifications: CFA (any level) or CPA strongly preferred. Professional experience: Roles such as Investment Analyst, Equity Research Analyst, Portfolio Manager, Financial Consultant, MBA Candidate, or Risk Analyst. Skills: Strong proficiency in financial modeling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment. Professional mindset: Detail-oriented, analytical, innovative thinker passionate about integrating cutting-edge AI into financial workflows and committed to interdisciplinary collaboration. Why Join the HFC? Contribute to high-impact work. Flexible remote work + competitive compensation. Pathways for growth. How to Apply: Submit your CV and a brief summary of your clinical background. Selected candidates will be invited to complete a short trial task and interview. ***PLEASE NOTE:*** Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. Minimum Salary: 34320.00 Maximum Salary: 34320.00 Salary Unit: Yearly