Investment Management Data Science

Franklin Templeton

8d • $26 - $26 • Onsite

About The Position

Investment Management Data Science (IMDS) partners with investment management teams to provide data science and AI solutions to investment problems. Responsibilities include: Quantitative Research AI/ML Models Data Mining/Extraction Natural Language Processing/LLMs Data Visualization Our goal is to drive the adoption of data-driven investing and enhance the suite of data and analytics available to investment teams. This position will work on a current initiative to streamline LLM-based document analysis. IMDS is uniquely positioned to work across asset classes & investment teams. Our group gets exposure to a wide variety of investment processes and problems and employs a full-suite of data science solutions, while having access to cutting-edge tools. This person will have the opportunity to drive key Data Science and AI initiatives as part of a larger push towards data-driven investing. Team Culture: IMDS is a geographically diverse group, consisting of both US and India team members. We are one of the few groups that work directly with investment teams across entire organization. IMDS is a highly collaborative environment, both within the group and with our partners in the investment teams. This position will get direct exposure to research, risk, and portfolio management teams. An IMDS Intern at Franklin Templeton can expect to learn: Applications of modern data science to investing Direct experience working with LLMs/AI models Exposure to different asset classes/investment processes

Requirements

• Experience using Python and SQL required.
• Progress towards undergraduate degree in Mathematics, Engineering, Data Science, Computer Science, Finance or related field
• Excellent communication skills with the ability to work independently
• Knowledge of capital markets
• Passionate about connecting investments insights to big data
• Drive for results with a startup mentality

Nice To Haves

• Experience with Natural Language Process or Large Language Models preferred

Responsibilities

• Create useful and actionable insights using data and models
• Collaborate with investment teams and promote the usage of data in the investment process
• Drive the adoption of AI tools, contribute to the development of AI assistants

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees