Quantitative Developer / Trader

Millennium; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Millennium is seeking a hybrid Quantitative Developer / Trader to support a systematic fixed income pod in London. You will work directly with the Portfolio Manager on execution, data pipelines, and quantitative tooling, balancing trading and development tasks in a fast-paced environment.

The role requires a STEM degree, 2–4 years of relevant experience, and strong Python skills (Pandas/NumPy) with attention to accuracy in execution and counterparty interactions.

Qualifications

• 2–4 years of experience in a systematic trading or quantitative development environment.
• A STEM degree.
• Strong quantitative foundation including linear algebra; statistics or machine learning.
• Proficiency in Python with Pandas/NumPy.

Responsibilities

• Support day-to-day execution for a systematic fixed income pod with the Portfolio Manager.
• Assist in executing orders and managing counterparty interactions with focus on accuracy.
• Contribute to the pod’s quantitative agenda across research, tooling, and workflow.
• Build and improve the data pipeline supporting fixed income trading and research.
• Support signal research through data analysis and quantitative investigation.
• Enhance the execution stack via automation and cost analysis tools.
• Balance trading and development duties as priorities evolve.
• Collaborate with the Portfolio Manager to translate research needs into scalable solutions.

Skills

Python

Pandas

NumPy

Linear algebra

Statistics

Machine learning

Signal processing

Communication

Attention to detail

Team collaboration

Education

STEM degree

Tools

SQL

Shell scripting

Job description

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.