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- Tasks: Join our team to enhance trade execution through analytics and transaction cost analysis.
- Company: Be part of a leading firm revolutionising execution services with cutting-edge technology.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Make a real impact in finance while working with innovative technologies and talented professionals.
- Qualifications: 7+ years in KDB, strong analytical skills, and experience in quantitative finance required.
- Other info: Experience with Python and machine learning is a plus!
The predicted salary is between 72000 - 108000 £ per year.
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.
- 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.
Quantitative Developer - Execution Services (London) employer: Placed
Contact Detail:
Placed 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 where you can connect with potential colleagues and learn more about the role.
✨Tip Number 3
Brush up on your KDB skills and ensure you can showcase your experience effectively. Consider working on a small project or contributing to open-source projects that highlight your coding abilities in a quantitative finance context.
✨Tip Number 4
Prepare to discuss how you approach problem-solving in a quantitative environment. Be ready to share specific examples of challenges you've faced and how you used data-driven methodologies to overcome them.
We think you need these skills to ace Quantitative Developer - Execution Services (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with KDB in a Quantitative Finance setting. Emphasise your analytical skills and any relevant projects that showcase your problem-solving abilities.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about execution analytics and transaction cost analysis. Mention specific experiences that demonstrate your ability to collaborate with quants and traders.
Showcase Technical Skills: Clearly outline your technical skills, especially your experience with Python, ML, and any cloud tooling. Provide examples of how you've applied these skills in previous roles or projects.
Highlight Communication Skills: Since strong communication is key for this role, include examples of how you've effectively communicated complex concepts to non-technical stakeholders in the past.
How to prepare for a job interview at Placed
✨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, as this will demonstrate your capability in a practical context.
✨Communicate Clearly
Since strong communication skills are essential for this role, practice explaining technical concepts in simple terms. This will help you convey your ideas effectively during the interview, especially when discussing execution analytics and transaction cost analysis.
✨Demonstrate Collaboration Experience
The role involves working closely with quants and traders, so be ready to share examples of how you've successfully collaborated in past projects. Emphasise your ability to work in a team and how you’ve contributed to achieving common goals.
✨Prepare for Technical Questions
Expect to face technical questions related to coding and quantitative analysis. Brush up on your Python skills and be ready to discuss any experience with machine learning or cloud tooling, as these could set you apart from other candidates.
