Quantitative Analyst (Putnam)

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting edge strategies and deep insights to unlock opportunities for long term wealth creation. Our talented, global teams bring expertise that is both broad and unique. From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success. What is the Quantitative Research Team responsible for? 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. Working alongside portfolio managers and research analysts, the successful candidate will combine superior technical and problem-solving skills with a deep understanding of the securities industry to support idea generation, portfolio construction and risk management processes. The Quantitative Analyst will contribute to external thought leadership by conducting quantitative research that supports client communications, marketing materials, and white papers. The ideal candidate is a proactive, detail-oriented communicator with strong organizational and analytical skills and a track record of delivering projects end-to-end. You bring advanced programming capabilities and database management expertise, and you’re comfortable partnering across teams to turn complex data into actionable insights. What is the Quantitative Analyst responsible for? Develops and maintains quantitative tools to support fundamental stock selection and portfolio construction 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 Analyze 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. Designs and implements back testing frameworks for portfolio strategies and alpha signals 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 What ideal qualifications, skills & experience would help someone to be successful? 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 Ability to analyze large datasets and translate outputs into actionable ideas 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; willingness to work hard and contribute to achievement of team goals Franklin Templeton offers employees a competitive and valuable range of total rewards—monetary and non-monetary — designed to support their well-being and