2027 PhD Summer Intern – Quantitative Portfolio Management – Quantitative Portfolio Management

Job Description

2027 PhD Summer Intern – Quantitative Portfolio Management | PIMCO

The Tone:
This is a 10-week summer internship at PIMCO, located in Newport Beach, CA. PIMCO is a global leader in active fixed income, established in 1971 with a mission to deliver superior investment returns, solutions, and service to clients. This role is essential for advancing PIMCO’s systematic investment strategies through quantitative research and development, contributing to the firm’s goal of creating investment opportunities regardless of market conditions.

The TL;DR
• Role: Internship
• Type: Temporary (10-week program)
• Location: In-person, Newport Beach, CA
• Pay: $205000 yearly
• Team: Quant PM team
• Mission: Develop and manage systematic investment strategies across various asset classes, from idea generation to deployment and portfolio management.
• Tech Stack: Python

What You’ll Actually Do
• Conduct alpha research to identify and develop new investment signals.
• Enhance and extend existing investment signals for improved performance.
• Analyze transaction costs to optimize trading strategies.
• Construct and optimize quantitative portfolios across varied asset classes.
• Manage the deployment and ongoing management of systematic investment strategies.

The Must-Haves
• Background: Doctorate Degree. Entry-Level. PhD candidate from a top program in quantitative fields such as Finance, Economics, Statistics, Computer Science, Operations Research, Physics, or Mathematics, with expected graduation between December 2027 and June 2028.
• Experience: A strong interest and background in quantitative disciplines, with formal training in empirical research. Business proficient in English.
• Skills: Proficiency in programming, specifically Python. Excellent analytical and creative research skills with the ability to independently drive projects. Exceptional writing and verbal communication skills.
• Bonus: Knowledge of asset pricing, economic theory, optimization methods, and fixed income markets. Experience in analyzing large unstructured real-world datasets. Demonstrated curiosity and experience in using new emerging technologies and AI tools in your work or school projects.