Quant Research - Investment Associate (FT Investment Solutions)
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About this role
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.
What are the ongoing responsibilities of this role?
- Develop quantitative research and software applications in Python to support our investment platform, MosaiQ
- Work closely with senior analysts and portfolio managers to contribute to the broader investment process
- Research to enhance investment strategies for example by building signals for a multi-asset strategy
- Create and maintain quantitative financial models and forecasts
- Communicate with internal clients to convey investment recommendations and ideas
- Attend investment meetings with portfolio managers and research analysts to build knowledge of underlying investment strategies
- Manage assigned projects/deliverables by actively communicating with team members about deadlines and informing all interested parties of deliverable timelines and status.
What ideal qualifications, skills & experience would help someone to be successful?
- This position requires a Bachelor’s degree in a STEM field, preferably with a major in Computer Science, Data Science, Physics, Engineering, or Math. This role is ideal for a recent or new graduate.
- Proficiency programming in Python, with Databases such as SQL and statistical modeling
- A strong team player who is proactive, responsive, and can thrive in a fast-paced collaborative environment. Effective interpersonal skills, proficiency at prioritization, proven experience with simultaneously managing multiple tasks, and the ability to operate under scheduled deadlines.
- Proficiency in interpreting statistical and financial information; strong ability to translate data to support written statements.
- Excellent analytical, quantitative, and interpretative skills, including ability to perform mathematical calculations or analyses in a timely manner.
- Being adaptable, flexible, and resilient.
- Coursework in finance or economics is a plus but not required.
- Demonstrated interest in markets, investing and finance.