What You'll Do

  • Support day-to-day execution for a systematic fixed income pod, working directly with the Portfolio Manager in a hybrid Quantitative Developer / Trader capacity.
  • Assist in executing orders and managing counterparty interaction, with a strong focus on accuracy, timeliness, and execution quality.
  • Contribute to the pod’s quantitative agenda under the direction of the Portfolio Manager across research, tooling, and workflow enhancement.
  • Build, maintain, and improve the data pipeline supporting systematic fixed income trading and research.
  • Support signal research through data analysis and quantitative investigation across the strategy lifecycle.
  • Enhance the execution stack through automation, transaction cost analysis, and other tools that improve trading efficiency and decision-making.
  • Balance trading and development responsibilities effectively as market conditions and team priorities evolve.
  • Work closely with the Portfolio Manager to help translate research and execution needs into practical, scalable solutions.

What You Bring

  • 2–4 years of experience in a systematic trading or quantitative development environment.
  • A degree in a STEM discipline.
  • A strong quantitative foundation, including comfort with linear algebra and practical experience in statistics, machine learning, or signal processing.
  • Proficiency in Python, including common data analysis libraries such as Pandas and NumPy.
  • High attention to detail and accuracy, particularly in an execution-focused environment.
  • Clear, concise communication skills and the ability to interact effectively with both the Portfolio Manager and external counterparties.
  • A collaborative, adaptable approach and the ability to operate effectively in a fast-paced environment with shifting priorities.
  • Prior exposure to fixed income markets, familiarity with SQL and shell scripting, experience with a strongly typed language, and exposure to LLMs or agentic coding tools are all beneficial.

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