About this opportunity
Madison-Davis, LLC lists this Senior KDB Developer opportunity in new york city, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.