PhD Summer Internship — Quantitative Analytics

PIMCO; Newport Beach (CA); On-site; USD 205,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Relocation stipend

Mentorship program

Training and networking events

Job summary

PIMCO’s 2026 PhD Summer Internship in Newport Beach, CA offers a hands-on experience in Portfolio Management and Quantitative Research Analytics. Interns work on models for alpha generation and risk management, collaborating with PM Analytics teams to support investment decisions.

The program runs June 8–August 14, 2026, with mentorship, mid-summer feedback, and a final findings presentation. Competitive compensation includes a relocation bonus and exposure across fixed income markets.

Qualifications

• Be a Ph.D. candidate from a top program in quantitative fields such as Finance, Economics, Statistics, Computer Science, Operations Research, Physics, or Mathematics.
• Must be able to begin full time employment at a PIMCO office between January 2027 - August 2027.
• Must be enrolled at a university during the Fall 2026 semester (August 2026 - December 2026).
• Have business proficiency in English.

Responsibilities

• Develop models for alpha generation and risk management.
• Conduct econometric analyses of historical returns and apply macroeconomic research.
• Analyze transaction data to enhance trade execution and support portfolio management.

Skills

Python

Time series

Econometrics

Asset pricing

Quantitative analysis

C programming

English proficiency

Education

PhD candidate

Tools

C

Job description

PIMCO’s 2026 PhD Summer Internship in Newport Beach, CA offers a hands-on experience in Portfolio Management and Quantitative Research Analytics. Interns work on models for alpha generation and risk management, collaborating with PM Analytics teams to support investment decisions.

The program runs June 8–August 14, 2026, with mentorship, mid-summer feedback, and a final findings presentation. Competitive compensation includes a relocation bonus and exposure across fixed income markets.