7 of 7 KDB Jobs

patterns and how to build clean interfaces between compute components. Exposure to Python or bash for tooling and automation. Any experience with Q or KDB is valuable. A collaborative approach and the curiosity to explore new engineering techniques. This is an opportunity to build high impact software ...

patterns and how to build clean interfaces between compute components. Exposure to Python or bash for tooling and automation. Any experience with Q or KDB is valuable. A collaborative approach and the curiosity to explore new engineering techniques. This is an opportunity to build high impact software ...

patterns and how to build clean interfaces between compute components. Exposure to Python or bash for tooling and automation. Any experience with Q or KDB is valuable. A collaborative approach and the curiosity to explore new engineering techniques. This is an opportunity to build high impact software ...

A leading international bank is expanding its Fixed Income eTrading capability and seeking a talented Quant Developer to help design and deliver the next generation of electronic trading systems. This is a front-office, hands ...

🎓 Graduate Software Developer/Quantitative Developer/Quantitative Researcher 📍 Location: London (Hybrid) 💷 Compensation: Up to £180,000 + Bonus + Benefits 🏢 Client: Prestigious Trading Firm 🚀 Kickstart Your Career in Technology & Quantitative Finance Just graduated and ...

London | Hybrid | Permanent Ncounter is supporting a global technology-driven investment firm in hiring a Technology Integration Specialist to join a highly collaborative team that bridges development, infrastructure, and support. This function ensures trading systems ...

Kdb database, is widely used in the financial services industry, particularly by major investment banks, for high-speed, Real Time data processing and analytics. Kdb+ is a high-performance, column-based, in-memory database optimized for time-series data analysis, commonly used in financial services for handling large Real … data analytics solutions. Use cases: Widely adopted by major financial institutions for high-frequency trading, Real Time analytics, and historical data storage and retrieval. Kdb Insights Database: A more recent, distributed version of kdb+ designed for scalability with features like scalable query routing and temporal storage tiering. ...