Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and enhance KDB+/q infrastructure for market data analysis and support trading strategies.
- Company: Join a leading global systematic trading firm with a collaborative, research-driven culture.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration across global teams.
- Why this job: Work with top-tier technologists, leverage cutting-edge tech, and make an impact in systematic trading.
- Qualifications: Strong KDB+/q expertise, familiarity with market data, and experience in quantitative trading environments required.
- 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 and technology sectors. 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
Familiarise yourself with KDB+/q by working on personal projects or contributing to open-source initiatives. Demonstrating your hands-on experience with this technology can set you apart from other candidates and show your passion for the field.
✨Tip Number 3
Stay updated on the latest trends in quantitative trading and data analysis. Follow relevant blogs, podcasts, and publications to understand the challenges and innovations in the industry, which can help you during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding problems related to data structures and algorithms. Use platforms like LeetCode or HackerRank to sharpen your skills, as these are often key areas of focus in technical assessments.
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 Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the key responsibilities, such as developing low-latency solutions and working collaboratively with quants and traders.
Showcase Relevant Projects: If you have worked on projects involving time-series analysis or tick data processing, be sure to include these in your application. Detail your contributions and the impact of your work to demonstrate your problem-solving skills.
Highlight Technical Skills: Clearly list your technical skills, especially your proficiency in KDB+/q and any programming languages like Python. This will help the hiring team quickly see your qualifications for the role.
How to prepare for a job interview at Radley James
✨Showcase Your KDB+/q Expertise
Make sure to highlight your experience with KDB+/q during the interview. Be prepared to discuss specific projects where you've built or optimised large-scale databases, as this is crucial for the role.
✨Demonstrate Problem-Solving Skills
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, as this will show your analytical skills and how you approach challenges.
✨Familiarise Yourself with Market Data Structures
Brush up on your knowledge of market data structures and time-series analysis. Being able to discuss these topics confidently will demonstrate your understanding of the industry and its requirements.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with quants, traders, and researchers, be ready to discuss examples of past collaborations. Highlight how you contributed to team success and how you handle feedback and differing opinions.
