AI & Tech Equity Analyst - Fundamental Research

Undisclosed; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Undisclosed is partnering with a global investment platform to add an Investment Analyst focused on Artificial Intelligence, Technology, and Hard Tech to its public equities team. The role offers direct exposure to senior decision-makers, meaningful research ownership, and the opportunity to contribute to portfolio decisions within a lean, collaborative environment.

Ideal candidates have 2–6+ years in public equities, strong AI/tech sector knowledge, and proven financial modeling and thesis

Qualifications

• 2–6+ years in public equities.
• Strong understanding of AI, technology, semiconductors, software, or related sectors.
• Demonstrated experience in fundamental research and financial modeling.
• Ability to independently develop high-conviction investment theses.
• Strong analytical skills and long-term investment mindset.
• Comfortable working in a lean, collaborative investment environment.

Responsibilities

• Conduct fundamental research on AI, TMT, and Hard Tech public companies.
• Identify and develop opportunities across global public equities.
• Build financial models, analyze industry trends, and assess company fundamentals and valuation.
• Develop differentiated investment theses and present recommendations to senior professionals.
• Conduct primary research via management meetings, expert calls, and industry analysis.
• Monitor portfolio investments, earnings developments, and market trends.
• Collaborate with investment professionals and quant research to enhance analysis.

Skills

Public equities

AI/Tech sector

Financial modeling

Investment theses

Analytical skills

Team collaboration

Job description

Undisclosed is partnering with a global investment platform to add an Investment Analyst focused on Artificial Intelligence, Technology, and Hard Tech to its public equities team. The role offers direct exposure to senior decision-makers, meaningful research ownership, and the opportunity to contribute to portfolio decisions within a lean, collaborative environment.

Ideal candidates have 2–6+ years in public equities, strong AI/tech sector knowledge, and proven financial modeling and thesis