KDB Database

Role: Kdb Database Specialist Location: London, UK Mode: Hybrid Type: Contract Job Description: Kdb+ is optimized as a high-performance time-series database, making it ideal for the demanding, data-intensive environments within capital markets. Common applications include: High-Frequency Trading (HFT): Processing massive volumes of market data (trades and quotes) in milliseconds to enable rapid, automated trading decisions. Risk Management: Calculating and monitoring risk exposure across portfolios in real time, allowing firms to quickly respond to market changes. Quantitative Research and Analytics: Providing a single platform for both real-time and historical data analysis, crucial for developing trading models and strategies. Surveillance and Fraud Detection: Analyzing data streams in real time to identify unusual patterns or potential fraudulent activities. Profit & Loss (P&L) Reporting: Offering instant feedback on the performance of trading positions for traders and analysts. Key features Performance: Known for its speed, it processes and analyzes massive datasets in real-time by storing data primarily in RAM. Columnar and time-series focused: It stores data in columns, which is efficient for analytics, and is particularly strong at handling time-series data, a critical component for many financial applications. q programming language: Includes a built-in, vector-based language called "q," which is an expressive, high-performance language used for building 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. Job Type: Fixed term contractContract length: 6 months Pay: £500.00-£800.00 per day Experience: KDB : 5 years (required)