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- 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 and quants, leveraging cutting-edge technology in finance.
- Qualifications: Strong expertise in KDB+/q, experience in quantitative trading, and knowledge of Python or scripting languages.
- Other info: This role offers a chance to make a real impact in systematic trading.
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.
- 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
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.
✨Tip Number 3
Stay updated on the latest trends in quantitative trading and data analysis. Follow relevant blogs, podcasts, and publications to understand the current challenges and innovations in the industry, which can help you during discussions with our team.
✨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 our interview process.
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 with quants and traders.
Showcase Technical Skills: Clearly outline your technical skills, especially in KDB+/q and Python. If you have experience with data structures and algorithms, make sure to include that as well, as it is crucial for this role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and presented professionally.
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 Problem-Solving Skills
Expect 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 complex issues.
✨Familiarise Yourself with Market Data Structures
Brush up on your knowledge of market data structures and time-series analysis. Being able to discuss these concepts confidently will demonstrate your understanding of the trading environment and its requirements.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with quants, traders, and researchers, think of examples from your past experiences where collaboration led to successful outcomes. This will highlight your teamwork skills and adaptability in a fast-paced environment.
