PhD/MFE Quant PM Intern — AI-Driven Signals

PIMCO; Newport Beach (CA); On-site; USD 165,000 - 205,000; Full time

Job summary

PIMCO in Newport Beach offers a 10-week PhD/MFE Summer Intern position in Quantitative Portfolio Management. You will work on alpha signals, portfolio construction, and deployment within the Quant PM team.

Eligible candidates are PhD or Master's students in quantitative fields, with strong Python skills, empirical research training, and a passion for AI tools and advanced analytics. English proficiency required for collaboration.

Qualifications

• 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.
• 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 across assets as part of the Quant PM team.
• Participate in alpha research, signal testing, and portfolio construction from idea generation to deployment.
• Collaborate across functions to analyze data and optimize investment processes.
• Contribute to research documentation and communicate findings clearly.

Skills

Analytical thinking

Communication skills

Independent project drive

Curiosity about AI tools

Education

PhD candidate

Master's candidate

Tools

Python

Job description

PIMCO in Newport Beach offers a 10-week PhD/MFE Summer Intern position in Quantitative Portfolio Management. You will work on alpha signals, portfolio construction, and deployment within the Quant PM team.

Eligible candidates are PhD or Master's students in quantitative fields, with strong Python skills, empirical research training, and a passion for AI tools and advanced analytics. English proficiency required for collaboration.