2027 Summer Intern - Masters Quant Research Analyst, Client Solutions & Analytics, US
About The Position
PIMCO is a global leader in active fixed income, founded in 1971 with a total return approach. For over 50 years, PIMCO has helped millions of investors achieve their objectives through active management, aiming to create opportunities and deliver superior investment returns, solutions, and service. The company fosters a high-performance, inclusive culture celebrating diverse thinking and investing in its people, guided by CORE values: Collaboration, Openness, Responsibility, and Excellence. PIMCO is recognized as an innovator, industry thought leader, and trusted advisor. The Client Analytics team produces innovative thought leadership and quantitative research for PIMCO’s clients. Interns can expect to publish research pieces on relevant market themes, construct bespoke investment solutions, and develop platforms and applications to analyze client portfolios. Research topics are broad, adapting to market trends and client interest, with recent publications covering inflation, the role of fixed income, private asset risk and performance, smart beta emerging market portfolios, and retirement planning. Candidates should be hands-on creative thinkers capable of building research and investment solutions from inception to completion to meet client needs. Collaboration with Portfolio Management, Product Strategy, and Client Management is expected, with involvement in internal and client presentations. A strong quantitative background and excellent public speaking skills are essential.
Requirements
- Pursuing a Quantitative master’s degree in financial engineering or other technically demanding programs such as theoretical physics or math
- Must be able to begin full time employment at a PIMCO office between January 2028 – August 2028
- Must be enrolled at a university during the Fall 2027 semester (August 2027 – December 2027)
- Are business proficient in English
- Strong interest in Finance theory (especially portfolio theory and asset pricing)
- Strong interest in Econometrics (particularly time series)
- Strong interest in Data science and machine learning
- Excellent programming skills (preferably Python)
- Strong communication and writing skills
- Good exposure to and knowledge of financial markets
- 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 quantitative background
- Excellent public speaking skills
Nice To Haves
- While our eligibility requirements are not flexible, we encourage you to apply even if you do not possess 100% of the desired skills outlined above.
Responsibilities
- Working on innovative research in asset allocation, portfolio optimization, trading signals, asset returns and valuation
- Contributing to highly customized asset allocation and portfolio construction studies for key clients
- Designing, developing, and improving the suite of client analytics models and applications
Benefits
- competitive compensation
- transition bonus to help with relocation
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What This Job Offers
Career Level
Intern
