2027 PhD Summer Internship – Portfolio Management, Quantitative Research Analyst – Quantitative Research Analyst

Job Description

2027 PhD Summer Intern – Portfolio Management, Quantitative Research Analyst | PIMCO

The Tone:
This is a full-time internship at PIMCO, located in Newport Beach, CA. PIMCO is a global leader in active fixed income, established in 1971 with a pioneering total return approach to investing. For over 50 years, the firm has worked relentlessly to help millions of investors pursue their objectives by actively creating investment opportunities and delivering superior returns, solutions, and service. Guided by CORE values of Collaboration, Openness, Responsibility, and Excellence, PIMCO fosters an inclusive, high-performance culture that values diverse thinking. This internship role is crucial within the PM Analytics team, providing essential quantitative inputs to PIMCO’s investment process by developing models for alpha generation and risk management.

The TL;DR
• Role: Internship
• Type: Temporary, Seasonal (10-week program)
• Location: In-person, Newport Beach, CA
• Pay: $205000 yearly
• Team: PM Analytics team, collaborating closely with Portfolio Management
• Mission: Develop quantitative models for alpha generation and risk management to support PIMCO’s investment process.
• Tech Stack: Python, C++

What You’ll Actually Do
• Develop: Quantitative models for alpha generation and risk management, providing direct input into PIMCO’s investment process.
• Conduct: Rigorous econometric analyses of historical returns and build empirical and risk-neutral valuation models, potentially specializing in specific markets.
• Analyze: Extensive transaction data to enhance trade execution, applying relevant macroeconomic research and insights.
• Complete: A dedicated project under the mentorship of a supervisor and peer mentor, engaging with teammates and subject matter experts throughout the firm.
• Utilize: New emerging technologies and AI tools from day one to solve problems, gaining practical skills and making an impact, culminating in a final presentation of findings.

The Must-Haves
• Background: Doctorate Degree. An 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: Formal training in empirical research, particularly in time series and panel data econometrics, with a strong interest and background in quantitative disciplines. Business proficiency in English.
• Skills: Strong programming proficiency in Python; knowledge of asset pricing, fixed income markets, economic theory, and optimization methods; advanced analytical, problem-solving, and communication skills; high energy and a results-driven mindset.
• Bonus: Experience in analyzing large datasets; knowledge of C++; demonstrated curiosity and experience using new emerging technologies and AI tools in work or school projects.