2027 Summer Internship – PhD Quant Research Analyst, Client Solutions & Analytics, US – Quant Research Analyst

Job Description

2027 Summer Intern – PhD Quant Research Analyst, Client Solutions | PIMCO

The Tone:
This is a temporary internship at PIMCO, located in Newport Beach, CA, USA. PIMCO is a global leader in active fixed income, focused on delivering superior investment returns, solutions, and service to clients. This role is crucial for developing innovative thought leadership and quantitative research that directly informs client investment strategies and helps create bespoke solutions.

The TL;DR
• Role: Internship
• Type: Temporary
• Location: In-person, Newport Beach, CA, USA
• Pay: $205000 yearly
• Team: Client Analytics team, collaborating with Portfolio Management, Product Strategy, and Client Management
• Mission: To produce innovative thought leadership and quantitative research, construct bespoke investment solutions, and develop platforms for analyzing client portfolios.
• Tech Stack: Python, MATLAB, C++

What You’ll Actually Do
• Research: Publish research pieces on relevant market themes, adapting to market trends and client interest.
• Solutions: Construct bespoke investment solutions tailored to fit diverse client needs.
• Development: Develop platforms and applications to enhance the analysis of client portfolios.
• Collaboration: Collaborate with multiple internal firm-wide teams, including Portfolio Management, Product Strategy, and Client Management.
• Presentation: Be involved in both internal and client presentations, effectively communicating research and investment solutions.

The Must-Haves
• Background: PhD candidate from a top program in quantitative disciplines; Finance, Economics, Statistics, Physics or Math preferred. Must be enrolled at a university during the Fall 2027 semester.
• Experience: Formal training in empirical research, especially time series and panel data econometrics; experience analyzing large data sets preferred.
• Skills: Strong analytical, problem solving, and presentation skills; proficiency in programming.
• Bonus: Strong interest and background in quantitative disciplines; knowledge of asset pricing, economic theory, and optimization methods preferred; curiosity and experience in using new emerging technologies and AI tools in work or school projects.