Quantitative Research Analyst

Company: Pimco
Apply for the Quantitative Research Analyst
Location: London
Job Description:

Overview

In this role you will advance PIMCO’s quantitative capabilities within the Portfolio Management – Implementation team in London, focusing on systematic portfolio construction and efficient execution. You collaborate with Portfolio Managers and Technologists to turn data-driven insights into investable signals across fixed income markets. You contribute to rigorous research while delivering practical results for real-world portfolios. This is an opportunity to shape scalable quantitative methods at a leading global bond house.

Responsibilities

  • Collaborate with Portfolio Managers and technologists across mandates
  • Enhance systematic portfolio construction approaches
  • Re-engineer portfolio processes and execution strategies
  • Work on portfolio construction across fixed income asset classes (global rates, credit, currencies, securitized products)
  • Implement signals and techniques in portfolios with PM and trading teams
  • Improve trade processes and execution efficiency across fixed income
  • Assist in addressing large-scale portfolio construction problems
  • Communicate complex technical issues clearly to senior management and portfolio managers

Key requirements

  • 3+ years in the financial industry focused on portfolio construction, optimisation and trading processes; exposure to quantitative techniques
  • Excellent analytical and quantitative skills with meticulous attention to detail
  • Strong programming skills; proficiency in Python
  • Exposure to optimisation techniques; beneficial experience with large-scale portfolio construction
  • Self-starter with ability to lead by doing
  • Strong verbal communication skills for articulating issues and solutions to portfolio managers, credit researchers and developers
  • Ethical, collaborative, organized, flexible, high energy, accountable, humble
  • Strong verbal communication
  • Self-starter
  • Ethical
  • Python programming
  • Quantitative techniques
  • Data science

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Posted: October 23rd, 2026