PIMCO
Newport Beach, CA
2027 Summer Intern – PhD Quant Research Analyst, Client Solutions & Analytics, US
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Apply to 2027 Summer Intern – PhD Quant Research Analyst, Client Solutions & Analytics, US at PIMCOJob details
- Location
- Newport Beach, CA
- Work type
- Onsite
- Visa
- Sponsorship available
- Posted
- 2 weeks ago
- Apply on
- jobs.workable.com
About this role
PIMCO is a global leader in active fixed income and provides investment returns, solutions, and services to its clients. The PhD Quant Research Analyst Intern will conduct quantitative research, develop investment solutions and analytical platforms, and collaborate with Portfolio Management, Product Strategy, and Client Management. The role also involves research publication, client presentations, and the use of emerging technologies and AI tools to solve problems.
What you'll do:
- The client analytics team produces innovative thought leadership and quantitative research for PIMCO’s clients
- Candidates can expect to publish research pieces on relevant market themes, construct bespoke investment solutions, and develop platforms and applications to better analyze client portfolios
- Candidates should be hands-on creative thinkers able to build research and investment 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
- The PIMCO Internship is a 10-week program that runs from early June to mid-August, with the expectation that you will be available for the full duration of the program
- During Week 1, you’ll participate in PIMCO Fundamentals Training, providing you with the skills, knowledge, and relationships that will prepare you for success
- Alongside your colleagues, participate in PIMCO's Global Month of Volunteering, developed to heighten the impact of our employees' worldwide volunteer efforts
- Join us for a variety of cross-divisional education, networking & social events!
- Your supervisor, peer mentor, senior leaders and team offer guidance and mentorship throughout the summer
- You will gain hands-on experience with AI-powered tools from day one, with training and resources that help build future ready skills and make an impact from the start
- You’ll receive feedback at mid- and end-of-summer as part of a formal review process to keep you on the path to meeting your summer goals
What they're looking for:
- * Ph.D. candidate from a top program in quantitative disciplines; Finance, Economics, Statistics, Physics or Math preferred
- * Must be able to begin full time employment from a PIMCO office between January 2028 – August 2028
- * Must be enrolled at a university during the Fall 2027 semester (August 2027 – December 2027)
- Applicants should have a strong research background as well as excellent public speaking skills
- * Strong analytical, problem solving, and presentation 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
- * 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
Benefits:
- PIMCO Fundamentals Training during Week 1
- Participation in PIMCO's Global Month of Volunteering
- A variety of cross-divisional education, networking & social events
- Guidance and mentorship from your supervisor, peer mentor, senior leaders and team throughout the summer
- Hands-on experience with AI-powered tools from day one, with training and resources that help build future ready skills
- Feedback at mid- and end-of-summer as part of a formal review process
- A transition bonus to help with relocation to one of our office locations
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