Quantitative Research Analyst

Newport Beach, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Asset Management, Financial Services, Investment ManagementIndustries

Requirements

Candidates must possess a Master's degree in a quantitative discipline such as Financial Engineering, Physics, Mathematics, or Computer Science. They should have over 3 years of experience with Python and databases, including research workflows and data-driven experimentation. Strong proficiency in object-oriented programming (Java, C++, or C# preferred), a solid foundation in probability, statistics, and techniques like machine learning, time-series analysis, pattern recognition, and NLP are essential. Familiarity with financial markets, especially fixed income, is a strong plus. The ideal candidate will demonstrate intellectual curiosity, a passion for innovation, strong communication skills, and the ability to thrive in a fast-paced, collaborative, and detail-oriented environment.

Responsibilities

The Quantitative Researcher/Developer will collaborate with Quants and Portfolio Managers to implement and support strategy execution and portfolio construction engines. They will contribute to the development and enhancement of PIMCO’s Common Model Execution Framework and Optimization Engine, and explore/prototype new alpha signals, portfolio construction techniques, and optimization methods. The role involves partnering with Data Teams to onboard and integrate datasets, troubleshooting data and software issues, participating in design and review sessions, and working cross-functionally with technologists, traders, and researchers to build scalable systematic trading solutions.