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