Quantitative Research Associate

Responsibilities

• Assist in developing and maintaining quantitative tools to support fundamental stock selection and portfolio construction
• Help build and maintain databases, screening tools, and factor models to complement fundamental research
• Contribute to quantitative analysis and provision of portfolio analytics, including performance attribution, factor exposures, and risk metrics
• Ensure data quality and assist with data cleaning and organization
• Perform back testing and validation of portfolio strategies and alpha signals
• Collaborate with technology teams to productionize tools and improve data infrastructure

Requirements

• BA, BS, or MS in finance, mathematics, statistics, computing science, or a similar quantitative field
• Previous experience in a quantitative role within asset management
• Strong understanding of statistics and data analysis techniques
• Proficiency in SQL, R, and Python
• Familiarity with machine learning techniques and their application to financial data
• Ability to analyze large structured and unstructured datasets
• Strong written and verbal communication skills

Preferred Qualifications

• Interest in financial markets, accounting fundamentals, and valuation concepts
• Experience with large-scale data infrastructure and productionizing analytical tools

About the Company

Franklin Templeton is a global asset management organization that spans asset management, wealth management, and fintech. Through its investment management group, Putnam Investments, the firm manages a diverse range of active equity portfolios using a stock-driven approach designed to produce consistent outperformance.