Franklin Templeton Investment Solutions is an investment management unit of Franklin Templeton managing in excess of $87 billion across a variety of mutual funds and other investment vehicles. Franklin Templeton Investment Solutions is a leader in multi-asset, quantitative, and hedged solutions, leveraging a global network of investment teams to offer innovative and diversified strategies. With a focus on long-term investing, we combine deep research, active management, and data-driven insights to create solutions which seek to meet the evolving needs of investors worldwide. brings together more than six decades of investment experience offering in-depth expertise in managing global, U.S., sector and thematic equity strategies across the style and market-capitalization spectrum. We believe that attractive risk-adjusted returns can be achieved over time by using a team-oriented collaborative approach and disciplined, bottom-up fundamental research. About the Opportunity The Quant Research - Investment Associate role is a three-year term position designed to support new graduates in connecting their personal passions and strengths to the mission and principles of Franklin Templeton Investment Solutions (FTIS). Associates will have the opportunity to make meaningful contributions while developing their professional expertise. The Investment Associate will be responsible for executing innovative quantitative projects to support our multi-asset investment strategies, including developing alpha signals, enhancing our investment risk models, and supporting our ability advise clients on strategic asset allocation. The Associate will contribute meaningful research and back-end code to our investment platform, MosaiQ. This position will be located in our Boston office and requires in-office attendance four days per week. This role is ideal for a recent or early‑career graduate (0-1 years of experience) with a Bachelor’s degree in a STEM discipline such as Computer Science, Data Science, Physics, Engineering, or Mathematics. The Quantitative Research Associate will apply strong Python programming skills, including experience with databases (e.g., SQL) and statistical modeling, to analyze and interpret statistical and financial data. The role requires excellent analytical and quantitative abilities, a solid foundation in mathematical analysis, and the capability to translate complex data into clear, well‑supported written insights within tight timelines.
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Job Type
Full-time
Career Level
Entry Level