About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millenniums mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

Millenniums trading teams operate in a dynamic and entrepreneurial environment, supported by the firms resources and technology and a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. Working across global markets, teams combine specialization and expertise with a rigorous risk framework, while partnering across the platform in a collaborative culture focused on pursuing high-quality results.

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 pods 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

24 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.