Quantitative Research Analyst

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

We are seeking a quantitative researcher to join the Portfolio Management Analytics team based in Newport Beach. The PIMCO Analytics team is dedicated to developing cutting-edge analytical tools that enhance portfolio management decision-making and establish a best in class risk analytics framework for the firm.

In this role, you will have the opportunity to conduct research and develop sophisticated risk analytics models for fixed income securities as well as interest rate, FX, and equity derivatives. You will also contribute to the development and enhancement of PIMCO's comprehensive portfolio risk and attribution framework, providing insights that inform investment decisions and portfolio construction.

Your responsibilities will include developing pricing models to assess risk, analyzing historical returns, analyzing portfolio risk factor models and their tail risk behavior, and identifying drivers of return across a diverse range of portfolios managed by PIMCO. You will collaborate closely with Portfolio Managers and the Risk Team to leverage the Analytics investment toolkit, delivering insights that support investment decision-making.

The ideal candidate will possess strong mathematical modeling skills, empirical research experience, and proficiency in programming. Additionally, you should be able to communicate complex technical concepts clearly and effectively to senior management and portfolio managers. If you are passionate about quantitative research and eager to make a significant impact in the field of portfolio management, we encourage you to apply.

Desired candidates should possess the following skills and characteristics:

• Master's degree in a quantitative discipline (mathematics, engineering, econometrics, physics);
  PhD degree preferred
• 0-2 years of experience in a quantitative analytics role within a trading environment or experience applying advanced quantitative techniques to solve highly complex, data-intensive problems
• Strong quantitative skills, specifically financial mathematics, probability, and statistics
• Strong programming skills and numerical problem solving techniques; proficiency with Python; C++ is a plus
• General understanding of fixed income market, quantitative risk analytics and portfolio construction
• Formal training in econometrics or stochastic differential equations is desired, particularly in time series analysis, option theory, numerical methods, and optimization techniques
• Ethical, collaborative, organized, flexible, high energy, self-starter, accountable, humble

BENEFITS

• PIMCO is committed to offering a comprehensive portfolio of employee benefits designed to support the health and wellbeing of you and your family. These benefits include medical, dental and vision coverage from your first day of employment.
• 401k Savings and Retirement Plan
• Work/Life Programs such as Flexible Work Arrangements, Parental Leave & Support, Employee Assistance Plan, and Educational/CFA Certification Reimbursement Programs.
• Community involvement opportunities with The PIMCO Foundation in each PIMCO office.