JOE Listings (Job Openings for Economists)

August 1, 2026 - January 31, 2027

PIMCO

Asset Management
Client Solutions & Analytics
PIMCO Quantitative Research Analyst - Client Solutions & Analytics

JOE ID Number: 2026-02_111478447
Date Posted: 11/04/2026
Position Title/Short Description
Title: PIMCO Quantitative Research Analyst - Client Solutions & Analytics
Section: Full-Time Nonacademic
Location: Newport Beach, California, UNITED STATES
JEL Classifications:
00 -- 00 - Default: Any Field
G1 -- General Financial Markets
G2 -- Financial Institutions and Services
E0 -- General
A1 -- General Economics
Keywords:
Asset Management
Quant
PhD
Consulting
Economics
Quantitative
Asset Pricing
Economic Theory
Empirical Research
Time Series
Panel Data
Econometrics
Python
MATLAB
C++
Salary Range: 205,000 - 230,000
Full Text of JOE Listing:

The Client Solutions & Analytics team produces innovative thought leadership and quantitative research for PIMCO’s clients. Candidates can expect to publish and present research pieces on relevant market themes, construct bespoke investment solutions, and develop platforms and applications to better analyze client portfolios. The team’s research topics are broad-ranging adapting to market trends and client interest.

Candidates should be hands-on creative thinkers able to build research and solutions from inception to completion to fit client needs. Candidates will collaborate with multiple parts of the firm, including Portfolio Management, Product Strategy, and Client Management and can expect to be involved in both internal as well as client presentations. Applicants should have a strong research background as well as excellent public speaking skills.

Requirements

0-3 years of relevant work experience in asset management, buy-side or sell-side research, investment consulting or academia
PhD in finance, economics or quantitative discipline from leading university highly desirable
Strong interest and background in quantitative disciplines; knowledge of asset pricing, economic theory, and optimization methods preferred
Formal training in empirical research, especially time series and panel data econometrics; experience analyzing large data sets preferred
Proficiency in programming; Python, MATLAB, C++, preferred
Strong analytical, problem solving, and presentation skills

Application Requirements:
  • External Application Link
Application deadline: 01/31/2027