Quantitative Analyst (Putnam)

Quantitative Research Team

The Quantitative Research Team is seeking an experienced Quantitative Analyst who will focus on enhancing the investment process through data-driven insights, portfolio analytics, and tool development.

Responsibilities

• Develops and maintains quantitative tools to support fundamental stock selection and portfolio construction
• Sets up and runs backtesting frameworks for portfolio strategies and alpha signals
• Supports portfolio construction decisions through optimization, scenario analysis, and risk-aware frameworks
• Builds and enhances stock selection models, screening tools, and a factor library to complement fundamental research
• Analyzes alternative and traditional datasets to identify insights relevant to company fundamentals and market behavior
• Applies natural language processing and machine learning techniques to extract insights from structured and unstructured data to enhance fundamental insights, quantitative signals, and evaluate portfolio positioning
• Contributes to product development and new fund launches
• Works closely with technology teams to operationalize tools and enhance data infrastructure
• Conducts quantitative research to support client engagement, including marketing materials, presentations, and white papers
• Translates analytical results into clear, compelling narratives for both internal stakeholders and external audiences

Qualifications, Skills & Experience

• BS or MS in finance, mathematics, statistics, computing science or similar quantitative field
• Minimum of 5 years of relevant experience in a quantitative role within asset management
• Experience supporting fundamental equity teams or working in a hybrid quant/fundamental environment
• Knowledge of equity factor models and their practical application in portfolios
• Strong written and verbal communication skills, with the ability to translate quantitative insights into compelling narratives
• Proficiency in SQL, R and Python strongly preferred
• Experience applying natural language processing and machine learning methods to investment research
• In-depth knowledge of risk management and optimization techniques
• Team player; willing to work hard and contribute to achievement of team goals