Senior Investment Research Scientist – Public Equities

A leading investment institution is seeking an experienced public markets researcher to help shape the future of equity investing through the application of AI, alternative data, and advanced analytical techniques.
This opportunity is designed for investment professionals who are passionate about identifying attractive public market investment opportunities and believe technology can materially enhance the research process.
Rather than relying solely on traditional company analysis, the team is building next-generation research capabilities that combine fundamental investing, quantitative techniques, alternative data, machine learning, and automation to generate differentiated investment insights.

Key Responsibilities
Conduct deep research on publicly listed companies, industries, and long-term investment themes across global equity markets.
Develop differentiated investment insights by combining fundamental analysis with alternative data, machine learning, NLP, and AI-driven research techniques.
Identify emerging trends, competitive advantages, inflection points, and market opportunities that can drive investment performance.
Leverage AI tools and automation to enhance idea generation, company analysis, earnings assessment, thematic research, and portfolio monitoring.
Evaluate and integrate new datasets capable of improving investment decision-making and research productivity.
Partner closely with portfolio managers, quantitative researchers, and technology teams to develop scalable investment research capabilities.
Build frameworks that improve research efficiency while maintaining rigorous investment standards.
Present investment recommendations and research findings to senior investment professionals and investment committees.
Requirements
Experience conducting investment research within asset management, sovereign wealth funds, hedge funds, family offices, pension funds, or other institutional investors.
Strong understanding of public equities and investment processes.
Demonstrated ability to generate actionable investment insights and investment recommendations.
Experience applying AI, machine learning, alternative data, automation, or quantitative techniques within an investment context.
Strong analytical and problem-solving capabilities.
Programming experience in Python or similar analytical languages is advantageous.
Ability to bridge investment thinking with modern data and technology capabilities.

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