A global financial-services organization is seeking a Senior KDB Developer to join a technology organization supporting real-time Equities data and analytics. This position will engineer high-performance platforms responsible for processing large volumes of real-time and historical financial data. The engineer will work closely with trading, quantitative, engineering, QA, and production teams while maintaining substantial hands-on ownership of KDB+/Q development. The ideal candidate combines deep KDB/Q expertise with experience building real-time, low-latency financial data systems.
Responsibilities:
Design and develop low-latency KDB+/Q platforms for real-time financial data.
Build and optimize streaming pipelines supporting market, ticker, order, and execution data.
Develop scalable tickerplant, RDB, and HDB architectures.
Design time-series models and high-performance query frameworks.
Optimize platform latency, throughput, reliability, and query performance.
Develop APIs and reusable components for trading and analytics applications.
Implement monitoring and automated data-quality controls.
Troubleshoot complex real-time data and production issues.
Role Requirements:
Extensive hands-on KDB+/Q engineering experience.
Strong experience developing real-time data-processing systems.
Experience working in low-latency environments.
Financial-services experience.
Experience with large-scale market, trading, transactional, or time-series datasets.
Strong Linux/Unix skills.
Working knowledge of Python or Java.
Strong understanding of time-series architecture and streaming data.
Ability to work directly with technical and front-office stakeholders.
Ability to work onsite in New York City three days per week.
Nice to Have:
Electronic or algorithmic trading experience.
Equities experience.
Market microstructure knowledge.
AWS exposure.
Authentication and entitlement experience.
