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# Quantitative Developer / Trader

- **Company:** Millennium Management LLC
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Integrated Development Environments, Python (Programming Language), Machine Learning, NumPy, Shell Script, Signal Processing, SQL Databases, Large Language Models, Pandas, Data Pipelines
- **Published:** July 11, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=bbb461d8f52ec926

## About the Role

* 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.

## Description

* 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.


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