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- Tasks: Join our Execution Services team to enhance trade execution and minimise costs.
- Company: Be part of a leading firm at the forefront of quantitative finance and technology.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and professional growth.
- Why this job: Contribute to innovative projects while collaborating with top quants and traders in the industry.
- Qualifications: 7+ years of KDB experience in Quantitative Finance; strong analytical and communication skills required.
- Other info: Experience with Python and machine learning is a plus; EU work permit needed.
The predicted salary is between 48000 - 72000 £ per year.
Social network you want to login/join with:
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Client:
Location:
London, United Kingdom
Job Category:
Other
–
EU work permit required:
Yes
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Job Reference:
d4cb46301530
Job Views:
7
Posted:
04.07.2025
Expiry Date:
18.08.2025
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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.
- 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.
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Quantitative Developer - Execution Services (London) employer: Millennium Management
Contact Detail:
Millennium Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Execution Services (London)
✨Tip Number 1
Familiarise yourself with the latest trends in execution analytics and transaction cost analysis. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the quantitative finance space, especially those who work in execution services. Attend industry events or webinars to make connections that could provide insights or even referrals for the role.
✨Tip Number 3
Brush up on your KDB skills, as this is a key requirement for the role. Consider working on personal projects or contributing to open-source projects that involve KDB to showcase your expertise.
✨Tip Number 4
Prepare to discuss your experience with Python and machine learning, as these are valuable assets for the position. Think of specific examples where you've applied these skills in a quantitative finance context to highlight your capabilities.
We think you need these skills to ace Quantitative Developer - Execution Services (London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Quantitative Developer in Execution Services. Familiarise yourself with trade execution, transaction cost analysis, and the technologies mentioned in the job description.
Tailor Your CV: Highlight your experience with KDB and any relevant quantitative finance roles. Emphasise your analytical skills, problem-solving abilities, and any experience with execution analytics or global equities research to align with the job requirements.
Craft a Compelling Cover Letter: Use your cover letter to explain why you're a great fit for this role. Discuss your experience with Python, ML, and any cloud tooling, and how these skills can contribute to the team’s goals in execution analytics.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter. Check for any grammatical errors or typos, and ensure that your documents are clear and concise, reflecting your strong communication skills.
How to prepare for a job interview at Millennium Management
✨Showcase Your Technical Skills
Be prepared to discuss your experience with KDB and any relevant quantitative finance projects. Highlight specific examples where you've applied your analytical skills to solve complex problems, especially in execution analytics.
✨Communicate Clearly
Since strong communication skills are essential for this role, practice explaining technical concepts in a straightforward manner. You might be asked to describe your previous work or methodologies, so clarity is key.
✨Demonstrate Collaboration
The role involves working closely with quants and traders, so be ready to discuss how you've successfully collaborated in past projects. Share examples of how you contributed to team goals and supported your colleagues.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of scenarios where you've had to analyse data or develop models under pressure, and be ready to walk through your thought process during the interview.
