Portfolio Management Intern — SF Summer Program

Messiah University; San Francisco (CA); Vor Ort; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

Messiah University is seeking a Portfolio Analyst to support the portfolio management process, research data, and develop investment strategies. You will collaborate with portfolio managers to construct, monitor risk, and communicate with clients.

The role emphasizes analytical thinking, Python coding, and effective communication. You will work with cross-functional teams to implement AI-enabled investment ideas and continually learn in a fast-paced environment.

Qualifikationen

• Interest in markets and portfolio management.
• Strong analytical and problem-solving abilities.
• Ability to distill and communicate large amounts of information succinctly.
• Collaborative and team-oriented mindset.
• Willingness to learn and adapt to AI and emerging technologies.

Aufgaben

• Support the portfolio management process by conducting research, analyzing data and developing investment strategies.
• Work closely with portfolio managers to construct and manage portfolios, monitor risk and communicate with clients.
• Collaborate with other teams, such as research, trading and operations, to ensure the smooth execution of investment strategies.
• Responsible use of data, technology, and AI to solve problems and deliver impactful outcomes.
• Note: The specific responsibilities may vary depending on the team and the investment strategies supported.

Kenntnisse

Investment passion

Analytical thinking

Teamwork

Written & verbal communication

Learning mindset

AI curiosity

Problem solving

Research skills

Tools

Python

Jobbeschreibung

Messiah University is seeking a Portfolio Analyst to support the portfolio management process, research data, and develop investment strategies. You will collaborate with portfolio managers to construct, monitor risk, and communicate with clients.

The role emphasizes analytical thinking, Python coding, and effective communication. You will work with cross-functional teams to implement AI-enabled investment ideas and continually learn in a fast-paced environment.