Quantitative Developer - Execution Services

Company: Millennium Management LLC

Location: London, United Kingdom

Type: Permanent

Date: 2025-07-12

Job ID: 22715908

Employment Type: Full time

Salary: Competitive

Job Description

The Execution Services team is responsible for trade execution across a wide range of products and geographies, with a focus on minimizing trading costs and execution risk. We are looking for a highly driven, results oriented Quantitative Developer to join our team focusing on execution analytics & transaction cost analysis (TCA). We are at the forefront of industry-leading initiatives applying technology, quantitative analysis, and data-driven methodologies to our execution process.

Principal Responsibilities

• Collaborate with key stakeholders across Execution Services including quants and traders, to deliver key models & metrics, and to guide the overall direction & design of the platform.


• Make large contributions to the codebase, working in an iterative and dynamic environment.


• Support, maintain and test own code following best-practices including unit testing, documentation and automation within typical CI processes.

Qualifications/Skills Required

• 7+ years of KDB in a Quantitative Finance setting.


• Highly analytical and strong problem-solving skills and attention to detail.


• Strong communication skills with the ability to explain technical and sophisticated concepts clearly and concisely.


• Experience with execution analytics and global equities research highly preferred.


• Experience with Python, ML, pykx or cloud tooling is a bonus.

#s1-Gen

Quantitative Developer - Execution Services The Execution Services team is responsible for trade execution across a wide range of products and geographies, with a focus on minimizing trading costs and execution risk. We are looking for a highly driven, results oriented Quantitative Developer to join our team focusing on execution analytics & transaction cost analysis (TCA). We are at the forefront of industry-leading initiatives applying technology, quantitative analysis, and data-driven methodologies to our execution process. Principal Responsibilities Collaborate with key stakeholders across Execution Services including quants and traders, to deliver key models & metrics, and to guide the overall direction & design of the platform. Make large contributions to the codebase, working in an iterative and dynamic environment. Support, maintain and test own code following best-practices including unit testing, documentation and automation within typical CI processes.
Qualifications/Skills Required 7+ years of KDB in a Quantitative Finance setting. Highly analytical and strong problem-solving skills and attention to detail. Strong communication skills with the ability to explain technical and sophisticated concepts clearly and concisely. Experience with execution analytics and global equities research highly preferred. Experience with Python, ML, pykx or cloud tooling is a bonus.