2027 PhD Summer Intern – Portfolio Management, Quantitative Research Analyst
About The Position
PIMCO is a global leader in active fixed income, founded in 1971. We aim to help millions of investors pursue their objectives through a total return approach to fixed income investing. Our mission is to deliver superior investment returns, solutions, and service to our clients. We foster a high-performance inclusive culture that celebrates diverse thinking and invests in our people, guided by our CORE values: Collaboration, Openness, Responsibility, and Excellence. We believe in helping each other succeed, which has established PIMCO as an innovator, industry thought leader, and trusted advisor. The PM Analytics team collaborates closely with Portfolio Management to provide quantitative inputs to PIMCO’s investment process. This includes developing models for alpha generation and risk management. Team members may specialize in specific markets (e.g., credit, rates, mortgages) or take on cross-market roles such as asset allocation, portfolio construction, or execution. Key responsibilities involve conducting econometric analyses of historical returns, building empirical and risk-neutral valuation models, applying macroeconomic research, and analyzing extensive transaction data to enhance trade execution.
Requirements
- Be a Ph.D. candidate from a top program in quantitative fields such as Finance, Economics, Statistics, Computer Science, Operations Research, Physics, or Mathematics.
- Expected graduation from the Ph.D. program between Dec 2027 and June 2028.
- Have business proficiency in English.
- A strong interest and background in quantitative disciplines.
- Formal training in empirical research, particularly in time series and panel data econometrics.
- Proficiency in programming, with a strong preference for Python.
- High energy, a results-driven mindset, and strong analytical, problem-solving, and communication skills.
Nice To Haves
- Knowledge of asset pricing, fixed income markets, economic theory, and optimization methods.
- Experience in analyzing large datasets.
- Knowledge of C++.
- Experience in using new emerging technologies and AI tools in your work or school projects to solve problems and drive better outcomes.
Responsibilities
- Developing models for alpha generation and risk management.
- Conducting econometric analyses of historical returns.
- Building empirical and risk-neutral valuation models.
- Applying macroeconomic research.
- Analyzing extensive transaction data to enhance trade execution.
- Presenting findings to the team at the conclusion of the internship.
Benefits
- Competitive compensation
- Transition bonus to help with relocation
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
