2027 PhD/MFE Summer Intern – Quantitative Portfolio Management

PIMCO•Newport Beach, CA

10h•$165,000 - $205,000•Onsite

About The Position

PIMCO is a global leader in active fixed income. With our launch in 1971 in Newport Beach, California, PIMCO introduced investors to a total return approach to fixed income investing. In the 50+ years since, we have worked relentlessly to help millions of investors pursue their objectives – regardless of shifting marketing conditions. As active investors, our goal is not just to find opportunities, but to create them. To this end, we remain firmly committed to the pursuit of our mission: delivering superior investment returns, solutions, and service to our clients. Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients. The Quant PM team develops and manages systematic investment strategies spanning managed futures, alternative risk premia and quantitative alpha. Covering varied asset classes including Rates, FX, Equities, Commodities and Vol, Quant PMs are involved in the entire life cycle of the investment process: starting from idea generation, signal testing, portfolio construction, all the way through to deployment and portfolio management. Candidates can expect to work on projects which include alpha research on new signals, enhancement and extension of existing signals, transaction cost analysis, portfolio construction, and optimization.

Requirements

Ph.D. or Master's candidate from a top program in quantitative fields such as Finance, Economics, Statistics, Computer Science, Operations Research, Physics, or Mathematics.
Expected graduation from your graduate program between Dec 2027 and June 2028
Business proficient in English.
A strong interest and background in quantitative disciplines, with knowledge of asset pricing, economic theory, optimization methods, and fixed income markets preferred.
Formal training in empirical research, particularly in statistics and econometrics, with experience in analyzing large unstructured real-world datasets preferred.
Proficiency in programming, with a strong preference for Python.
Excellent analytical and creative research skills with the ability to independently drive projects
Exceptional writing and verbal communication skills
Demonstrate curiosity and experience in using new emerging technologies and AI tools in your work or school projects to solve problems and drive better outcomes

Responsibilities

Develop and manage systematic investment strategies spanning managed futures, alternative risk premia and quantitative alpha.
Cover varied asset classes including Rates, FX, Equities, Commodities and Vol.
Involved in the entire life cycle of the investment process: starting from idea generation, signal testing, portfolio construction, all the way through to deployment and portfolio management.
Work on projects which include alpha research on new signals, enhancement and extension of existing signals, transaction cost analysis, portfolio construction, and optimization.