2027 PhD/MFE Summer Intern – Quantitative Portfolio Manager

PIMCO•Newport Beach, CA
•$165,000 - $205,000•Onsite

About The Position

The Quantitative Portfolio Management team develops and manages systematic investment strategies spanning managed futures, alternative risk premia, and quantitative alpha. The team covers rates, foreign exchange, equities, commodities, and volatility. Quantitative Portfolio Managers contribute throughout the investment process, from idea generation and signal testing to portfolio construction, deployment, and portfolio management. Intern projects may involve researching new alpha signals, enhancing or extending existing signals, transaction cost analysis, portfolio construction, and optimization. This 10-week summer internship is based at PIMCO’s Newport Beach, California headquarters and runs from early June to mid-August. Interns are expected to be available for the full program. The internship includes training, mentorship, educational and networking events, a volunteer initiative, hands-on experience with AI-powered tools, and formal mid- and end-of-summer feedback. Interns receive competitive compensation and a transition bonus to help with relocation to a PIMCO office location.

Requirements

  • Be a Ph.D. or master's candidate in a quantitative field such as finance, economics, statistics, computer science, operations research, physics, or mathematics.
  • Expect to graduate from the graduate program between December 2027 and June 2028.
  • Be business proficient in English.
  • Have programming proficiency; Python is strongly preferred.
  • Have excellent analytical and creative research skills and the ability to independently drive projects.
  • Have exceptional writing and verbal communication skills.
  • Demonstrate curiosity and experience using emerging technologies and AI tools in work or school projects to solve problems and improve outcomes.
  • Be available for the full 10-week internship, running from early June to mid-August.

Nice To Haves

  • Knowledge of asset pricing, economic theory, optimization methods, and fixed income markets.
  • Formal empirical research training, particularly in statistics and econometrics.
  • Experience analyzing large, unstructured real-world datasets.

Responsibilities

  • Conduct alpha research on new signals and enhance or extend existing signals.
  • Perform transaction cost analysis.
  • Contribute to portfolio construction and optimization.
  • Participate in the investment process from idea generation and signal testing through deployment and portfolio management.

Benefits

  • Competitive compensation.
  • Transition bonus to help with relocation to a PIMCO office location.
  • Training and resources for building skills with AI-powered tools.
  • Guidance and mentorship from a supervisor, peer mentor, senior leaders, and team.
  • Cross-divisional education, networking, and social events.
  • Participation in PIMCO’s Global Month of Volunteering.
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