Investment Associate (Quantitative Research – FT Investment Solutions

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.

The Franklin Templeton Investment Solutions is an investment management unit of Franklin Templeton managing in excess of $100 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.

The 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, Mosai

Q. This position will be located in our Boston office and requires in-office attendance four days per week.

• 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 predictive asset class model
• 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.

• This position requires a Bachelors or Masters degree in a STEM field, with a major in Computer Science, Data Science, Physics, Engineering, or Math. This role is ideal for a recent or new graduate with a strong quant background.
• Proficiency programming in Python, with Databases such as SQL and statistical modeling
• Demonstrated interest in markets, investing and financ.
• 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…