PhD Summer Intern - Quantitative Portfolio Analytics

PIMCO Ltd. - Pacific Investment Management Company; Newport Beach (CA); On-site; USD 174,000 - 236,000; Full time

Benefits offered by this job

Relocation transition bonus

Competitive compensation

Job summary

PIMCO in Newport Beach, CA seeks PhD candidates for a 2027 Summer Internship in Portfolio Management, Quantitative Research Analytics. You’ll develop models for alpha generation and risk management, collaborating with portfolio managers across markets, and use Python (C++ optional) and AI tools from day one.

The program runs 10 weeks from early June to mid-August, with training, mentorship, and hands-on projects.

Qualifications

• Ph.D. candidate in Finance, Economics, Statistics, CS, Operations Research, or Mathematics.
• Expected Ph.D. graduation between Dec 2027 and Jun 2028.
• Business proficiency in English.
• Strong background in asset pricing, fixed income markets, economic theory.
• Experience with time series and panel data econometrics; large datasets preferred.
• Programming proficiency, especially Python; C++ knowledge is beneficial.
• High energy, results-driven, analytical and communicative.
• Curiosity using AI tools to solve problems and drive outcomes.

Responsibilities

• Develop models for alpha generation and risk management.
• Conduct econometric analyses of historical returns.
• Build empirical and risk-neutral valuation models.
• Support macroeconomic research and analysis of large transaction data.
• Collaborate with Portfolio Management on investment process.

Skills

Quantitative disciplines

Time series econometrics

Empirical research

Python

C++

Analytical skills

Communication skills

AI tools experience

Education

PhD candidate in quantitative field

Tools

Python

C++

Job description

PIMCO in Newport Beach, CA seeks PhD candidates for a 2027 Summer Internship in Portfolio Management, Quantitative Research Analytics. You’ll develop models for alpha generation and risk management, collaborating with portfolio managers across markets, and use Python (C++ optional) and AI tools from day one.

The program runs 10 weeks from early June to mid-August, with training, mentorship, and hands-on projects.