Senior Quantitative Researcher

6 days ago

Newport Beach, California, United States PIMCO Full time
About PIMCO

PIMCO is a global leader in active fixed income, with a 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 non-traditional solutions for companies that need financing and investors who seek strong risk-adjusted returns.

Our Culture

We celebrate diverse thinking and invest in our people, striving to imprint our CORE values of Collaboration, Openness, Responsibility, and Excellence. We believe each of us is here to help others succeed, leading to PIMCO being recognized as an innovator, industry thought leader, and trusted advisor to our clients.

Job Description

We are seeking a Senior Quantitative Developer to join our PM-Analytics, Portfolio Engineering, and Implementation team. In this role, you will partner with Quant Researchers, Portfolio Managers, and Analysts in developing and implementing systematic signals and investment strategies. Your job will involve data analysis, understanding inputs to signals, developing systems to deploy strategies for alpha generation, and performing analysis to support the strategy/model implementation process across multiple asset classes.

Responsibilities
  • Work closely with Quants and PMs to implement, deploy, and support portfolio construction engines and strategy deployment.
  • Fully understand the PIMCO Common Model Execution Framework and Optimization Engine and contribute to their support and future evolution.
  • Provide timely and proactive support to end users.
  • Troubleshoot data and/or software issues and be able to rapidly implement fixes.
  • Work with Data Teams to onboard required data on PIMCO's core data services platform.
  • Actively participate in design and review sessions with stakeholders, project managers, and developers.
  • Work collaboratively with technologists, traders, and other researchers to build robust systematic trading software solutions.
Requirements
  • Quantitative Master's degree (financial engineering or other technically demanding program such as theoretical physics or mathematics).
  • 7+ years of hands-on experience with Python and relational databases.
  • Proficiency in any modern SQL-based relational databases.
  • 5+ years of Object-Oriented Programming with hands-on experience in Java (or C#/C++) is a plus.
  • Solid understanding of probability and statistics (e.g., machine-learning, time-series analysis, pattern recognition, NLP).
  • Experience using quantitative techniques in solving highly complex data-intensive problems.
  • Financial products knowledge, specifically fixed income, is strongly preferred.
  • Able to work independently, handle multiple tasks, and thrive in a collaborative and fast-paced team environment. Prior team management experience with the ability to mentor and coach is preferred.
  • Exceptional analytical skills, with strong attention to detail.
  • Excellent communicator - verbal and written.

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