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We are looking for a KDB Lead Developer to join our front-office technology team, supporting algorithmic trading and high-frequency trading (HFT) initiatives.
This role focuses on developing and optimizing time-series analytics systems, collaborating with quants, traders and technologists to deliver robust, low-latency solutions for market data analysis and strategy performance.
Responsibilities
- Design, develop and maintain KDB+/q-based data capture, analytics and visualization platforms
- Optimize time-series data queries and real-time analytics pipelines for performance and scalability
- Work with quantitative researchers and algo developers to deliver high-performance metrics and diagnostics tools
- Integrate KDB systems with market data feeds, order management systems and trading platforms
- Build dashboards and monitoring tools for algorithm performance and market behavior
- Maintain large-scale tick data stores including data hygiene, normalization and lifecycle management
- Collaborate with DevOps and Infrastructure teams to ensure system reliability and uptime
Requirements
- 8-12 years of professional experience developing with KDB+/q in a financial or trading environment
- Solid understanding of market data such as Level 1/2, order book dynamics, trades and quotes
- Familiarity with algorithmic trading concepts including VWAP, TWAP, arrival price, slippage and market impact
- Strong background in time-series data structures, analytics and performance tuning
- Proficiency in integrating KDB with Python, Java or Kafka and REST APIs
- Excellent problem-solving skills and a proactive detail-oriented mindset
- Effective communicator able to collaborate across business and technical teams
Nice to have
- Experience with real-time market data capture and event processing
- Knowledge of equities, FX, futures or fixed income trading workflows
- Familiarity with data visualization tools such as Dash, Grafana or custom q dashboards
- Experience working in low-latency high-throughput environments
