Senior KDB/Q Developer

Building a trading platform for innovative international top-tier hedge fund from the ground up, comprising of front-office system for traders, pre-trade checks and analysis, intra-day positions management, order management and routing, risks and limits management, reports of trading activities, FIX connectivity, market data providers connectivity (e.g. Bloomberg B-pipe).

Must Have

• Design, develop, and maintain KDB+/q databases and real-time data processing systems supporting trading and research.
• Build and optimize data ingestion pipelines from multiple market data sources using Kafka.
• Collaborate with Java developers to integrate KDB systems with trading, analytics, and risk applications.
• Support React-based front-end interfaces by developing efficient APIs and query services for visualization and analysis.
• Monitor and tune performance of large-scale time-series datasets for latency and throughput.
• Troubleshoot production issues, ensuring high data quality, reliability, and uptime.
• Partner with quantitative researchers and traders to design new data-driven features and analytics.

Good to Have

• Experience integrating KDB with Java and Kafka for distributed data processing and messaging.
• Familiarity with React-based UI systems, including API design to serve real-time data.
• Experience with cloud-based infrastructure (AWS, GCP, or similar) and containerization (Docker/Kubernetes).

##### Project description

Building a trading platform for innovative international top-tier hedge fund from the ground up, comprising of front-office system for traders, pre-trade checks and analysis, intra-day positions management, order management and routing, risks and limits management, reports of trading activities, FIX connectivity, market data providers connectivity (e.g. Bloomberg B-pipe).

##### Responsibilities

• Design, develop, and maintain KDB+/q databases and real-time data processing systems supporting trading and research.
• Build and optimize data ingestion pipelines from multiple market data sources using Kafka.
• Collaborate with Java developers to integrate KDB systems with trading, analytics, and risk applications.
• Support React-based front-end interfaces by developing efficient APIs and query services for visualization and analysis.
• Monitor and tune performance of large-scale time-series datasets for latency and throughput.
• Troubleshoot production issues, ensuring high data quality, reliability, and uptime.
• Partner with quantitative researchers and traders to design new data-driven features and analytics.

##### Skills

Must have

• 3-8 years of hands-on experience developing in KDB+/q within a trading or financial environment.
• Strong understanding of time-series data, market data structures, and real-time data processing.
• Solid working knowledge of Linux and scripting for system monitoring and automation.
• Proficiency in query optimization, data modeling, and performance tuning in KDB.
• Ability to work collaboratively with engineering, quant, and trading teams in a fast-paced environment.
• Strong communication and problem-solving skills, with attention to detail and reliability.

Nice to have

• Experience integrating KDB with Java and Kafka for distributed data processing and messaging.
• Familiarity with React-based UI systems, including API design to serve real-time data.
• Experience with cloud-based infrastructure (AWS, GCP, or similar) and containerization (Docker/Kubernetes).

##### Other

Languages

English: B2 Upper Intermediate

Seniority

Senior