AI-Enabled Fundamental Analysis Lead

Selby Jennings; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Selby Jennings is seeking a senior candidate at the intersection of investing and artificial intelligence to train proprietary investment models and perform fundamental research. The role combines rigorous financial analysis with advanced AI development to enhance capital allocation decisions.

The incumbent will maintain sector coverage, generate investment ideas, and contribute to capital deployment while collaborating with portfolio managers and engineers to improve model performance.

Qualifications

• Strong foundation in fundamental analysis, valuation, financial modeling and security selection.
• Experience linking finance with AI/ML concepts to enhance investment research.
• Ability to train and evaluate AI models applied to financial reasoning and investment tasks.

Responsibilities

• Train proprietary AI systems for sophisticated fundamental investment research.
• Create and evaluate model outputs for company analysis, financial statement interpretation, valuation, earnings and credit underwriting.
• Generate investment recommendations and actionable trade ideas; present views to portfolio managers.
• Maintain sector and company coverage responsibilities across equities and/or credit markets.
• Leverage AI tools to improve investment outcomes and support capital deployment decisions.

Skills

Fundamental analysis

Valuation

Financial modeling

Security selection

AI model development

Model evaluation

Portfolio construction

Investment research

Investment ideas

Job description

A leading global multi-strategy investment manager is building an AI-driven investment platform designed to enhance fundamental research and capital allocation across public markets.

The firm is seeking individuals who began their careers in investment banking, hedge funds, asset management, private credit, public equities, or portfolio management, and subsequently transitioned to a leading AI laboratory where they have been responsible for training, evaluating, and improving frontier AI models on complex financial and investment-related tasks.

This is a highly unique role sitting at the intersection of investing and artificial intelligence. Successful candidates will help train the next generation of proprietary investment models while simultaneously functioning as an investor, conducting fundamental research, maintaining sector coverage, generating investment ideas, and participating in capital deployment decisions.

The ideal candidate is someone who:

• Started their career in investment banking, buy-side investing, asset management, hedge funds, or portfolio management
• Developed a strong foundation in fundamental analysis, valuation, financial modeling, and security selection
• Later joined a leading AI laboratory
• Has been directly involved in teaching, evaluating, or improving large language models on financial reasoning and investment-related problems
• Wants to return to investing while helping build AI systems that can perform institutional-quality investment research

Key Responsibilities

AI Model Development

• Train proprietary AI systems to perform sophisticated fundamental investment research
• Create and evaluate model outputs related to:
  • Company analysis
  • Financial statement interpretation
  • Valuation
  • Earnings analysis
  • Credit underwriting
  • Investment thesis generation
  • Portfolio construction
• Design benchmarks and evaluation frameworks that measure the quality of financial reasoning
• Partner with engineers, quantitative researchers, and portfolio managers to improve model performance

Fundamental Investment Research

• Maintain sector and company coverage responsibilities
• Conduct deep fundamental research across equities and/or credit markets
• Build financial models and perform valuation analysis
• Generate investment recommendations and actionable trade ideas
• Present investment views directly to portfolio managers and investment leadership

Capital Deployment

• Participate in portfolio construction discussions
• Evaluate risk/reward profiles of investment opportunities
• Monitor positions and performance attribution
• Leverage internally developed AI tools to improve investment outcomes