2027 Summer Intern - Client Solutions & Analytics Quantitative Research Analyst (MFE), London

PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients’ capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world’s largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns.

Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients.

202 7 Summer Internship – Client Solutions & Analytics Quantitative Research Analyst (MFE), London

Internship positions are located at PIMCO’s London Office.

You’re eligible to apply if you:

• Are pursuing a Master's degree in Financial Engineering or a closely related quantitative discipline
• Must be able to begin full time employment at a PIMCO office between January 2028– August 2028
• Must be enrolled at a university during December 2027 – June 2028
• Are business proficient in English
• Must be willing to work in London

You’ll excel as an Analyst if you have:

• A strong interest in the financial markets, macroeconomics, investment management, and financial modelling
• Excellent foundations in statistics and econometrics; experience analysing large data sets preferred
• Proficiency in programming; Python required, with MATLAB a plus
• Strong interpersonal skills, ability to articulate ideas / strategies clearly, both verbally and in writing
• Fluency in English with another European language desirable
• Strong time management and organization skills
• The ability to work effectively and professionally with all levels of personnel both internally and externally

Have demonstrated curiosity and experience in using new emerging technologies and AI tools in your work or school projects to solve problems and drive better outcomes