Quantitative Analyst (Putnam)
Core
Develop quantitative tools, models, and frameworks to support fundamental equity stock selection, portfolio construction, and risk management.
Role type
Senior IC quantitative analyst (equity/fundamental hybrid)
Builds
Quantitative tools, stock selection models, factor libraries, back-testing frameworks, and data infrastructure for portfolio strategies
Domain
Asset management / Equity investing / Quantitative research
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, R, Python, equity factor models, risk management, optimization techniques, natural language processing, machine learning, large dataset analysis
Preferred skills
NLP and ML application to investment research, hybrid quant/fundamental experience
Technologies
SQL, R, Python
Responsibilities
Develop and maintain quantitative tools for stock selection and portfolio construction; Build and enhance stock selection models, screening tools, and factor libraries; Analyze alternative and traditional datasets to identify insights on company fundamentals and market behavior; Apply NLP and ML techniques to extract insights from structured and unstructured data; Design and implement back-testing frameworks for portfolio strategies and alpha signals; Contribute to product development and new fund launches; Conduct quantitative research to support client engagement, marketing materials, and white papers.
Seniority
Senior, hands-on IC