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.
Job Description
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 analyse client portfolios. The team's research topics are broad-ranging adapting to market trends and client interest. Recent publications include: views on inflation, the role of fixed income in the current yield environment, private asset risk and performance, smart beta emerging market portfolios, PIMCO's capital market assumptions and retirement planning.
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. Applicants should have a strong research background as well as excellent public speaking skills.
Requirements
* At least three years of relevant work experience in asset management, buy-side or sell-side research, investment consulting or academia
* PhD in finance, economics or quantitative discipline from leading university highly desirable
* 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 analysing large data sets preferred
* Proficiency in programming; Python, MATLAB, C++, preferred
* Strong analytical, problem solving, and presentation skills
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