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- Tasks: Develop and enhance KDB+/q infrastructure for market data analysis and trading strategies.
- Company: Join a leading global systematic trading firm with a collaborative, research-driven culture.
- Benefits: Enjoy a dynamic work environment with opportunities to collaborate globally and leverage cutting-edge technology.
- Why this job: Work with top-tier technologists and quants, making a real impact in systematic trading.
- Qualifications: Strong KDB+/q expertise, familiarity with market data, and experience in quantitative trading environments.
- Other info: This role offers a chance to innovate in a fast-paced, high-performance setting.
The predicted salary is between 48000 - 72000 £ per year.
A leading global systematic trading firm is looking for a highly skilled KDB+ Quant Developer to join its quantitative technology team. This role offers the opportunity to work in a collaborative, research-driven environment, supporting trading and research teams across London, New York, Paris, and Singapore.
Key Responsibilities:
- Develop and enhance high-performance KDB+/q infrastructure for real-time and historical market data analysis.
- Work closely with quants, traders, and researchers to optimize data access, analytics, and signal generation.
- Design and implement low-latency solutions to support systematic trading strategies.
- Maintain and improve large-scale tick data storage and retrieval systems.
- Ensure scalability and robustness of KDB+ systems across multiple asset classes.
Key Requirements:
- Strong expertise in KDB+/q with experience in building and optimizing large-scale databases.
- Familiarity with market data structures, time-series analysis, and tick data processing.
- Experience working in a quantitative trading, systematic investment, or hedge fund environment.
- Knowledge of Python or other scripting languages for integration and automation.
- Strong understanding of data structures, algorithms, and performance optimization.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
This is a fantastic opportunity to work with a global team of top-tier technologists and quants, leveraging cutting-edge technology to drive systematic trading strategies. If you're interested, please apply to learn more!
Quantitative Developer employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network with professionals in the quantitative trading field. Attend industry conferences, webinars, or local meetups to connect with people who work at firms similar to ours. This can help you gain insights into the role and potentially get a referral.
✨Tip Number 2
Brush up on your KDB+/q skills by working on personal projects or contributing to open-source projects. Demonstrating your ability to develop and optimise databases will make you stand out during interviews.
✨Tip Number 3
Familiarise yourself with the latest trends in systematic trading and quantitative analysis. Being knowledgeable about current market practices and technologies will show your passion for the field and your commitment to staying updated.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to data structures and algorithms. Focus on problems that involve time-series analysis and performance optimisation, as these are crucial for the role.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in KDB+/q and any relevant experience in quantitative trading or systematic investment. Use specific examples to demonstrate your skills in building and optimising large-scale databases.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative development and your understanding of the role. Mention your familiarity with market data structures and your problem-solving skills, and explain how you can contribute to the team.
Highlight Technical Skills: In your application, emphasise your proficiency in Python or other scripting languages, as well as your knowledge of data structures and algorithms. This will show that you have the technical foundation needed for the role.
Showcase Collaborative Experience: Since the role involves working closely with quants, traders, and researchers, include examples of past collaborative projects. Highlight your ability to work in a fast-paced environment and how you’ve contributed to team success.
How to prepare for a job interview at Radley James
✨Showcase Your KDB+/q Expertise
Be prepared to discuss your experience with KDB+/q in detail. Highlight specific projects where you've built or optimised large-scale databases, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Understanding of Market Data
Familiarise yourself with market data structures and time-series analysis. During the interview, provide examples of how you've worked with tick data processing and how it relates to systematic trading strategies.
✨Highlight Your Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Prepare to walk through your thought process on how you would approach optimising data access or designing low-latency solutions for trading systems.
✨Discuss Collaboration with Quants and Traders
Since this role involves working closely with quants and traders, be ready to share experiences where you've collaborated with cross-functional teams. Emphasise your communication skills and how you can bridge the gap between technology and trading.
