Equity Portfolio Management Intern

Job Description

Equity Co-Op | Raymond James

The Tone:
This is an onsite internship opportunity at Raymond James, located in Philadelphia, PA. Raymond James is a prominent financial services firm. This role is crucial for supporting the Equity Portfolio Management team by providing hands-on assistance in quantitative equity research and the equity management process, contributing to valuable data analytics and financial modeling. You will gain an in-depth understanding of investment strategies and financial research.

The TL;DR
• Role: Internship
• Location: In-person, Philadelphia, PA
• Team: Equity Portfolio Management team, assisting Portfolio Managers and Equity Analysts
• Mission: To support the Equity Portfolio Management team by conducting quantitative equity research and managing data to enhance investment strategies and reporting.
• Tech Stack: Bloomberg, FactSet, Python, Excel, VBA, SQL, Access

What You’ll Actually Do
• Data Management: Manage and compile data from multiple sources, ensuring accuracy, quality, and timely daily processing for the team.
• Reporting: Update, generate, and distribute daily reports for the Equity team to support their ongoing operations.
• Tool Utilization: Utilize investment tools like Bloomberg and FactSet to develop and refine investment screens and portfolio monitoring views.
• Tool Improvement: Collaborate with the team to maintain and improve existing tools using programming languages like Python.
• Automation and Development: Automate workflows and develop new tools using Excel, VBA, SQL, Python, and Access.
• Strategy Evaluation: Assist in back testing and evaluating investment strategies using quantitative methods.
• Analysis Support: Provide support in fundamental equity analysis, presentations, and portfolio reporting as needed.

The Must-Haves
• Background: Entry-Level. Open to Juniors and Seniors pursuing majors in Business Analytics, Programming, Data Science / Data Analytics, Finance, Mathematics, Statistics, Economics, or Computer Science. Must have strong analytical skills and an interest in quantitative finance and data analytics.
• Experience: General experience of 4 to 6 months.
• Skills: Proficiency in SQL and Python or similar programming languages, advanced Excel skills, and experience with Microsoft Office. Must be a quick learner with excellent teamwork and communication skills.
• Bonus: Experience with financial data platforms such as Bloomberg or FactSet.