AI-Enhanced Fundamental Research 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

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.