Senior KDB Developer

Madison-Davis
  • New York, NY, NY
  • Instant Apply
15 days ago

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.

PREFERRED EXPERIENCE
  • Electronic or algorithmic trading experience.
  • Equities experience.
  • Market microstructure knowledge.
  • AWS exposure.
  • Authentication and entitlement experience.

Numbers & Facts

LocationNew York, NY, NY

Skills

  • Algorithmsunmatched
  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Authenticationunmatched
  • Data Analysisunmatched
  • Data Qualityunmatched
  • Data Setsunmatched
  • Engineeringunmatched
  • Financial Servicesunmatched
  • Financial Systemsunmatched
  • Global Financial Marketsunmatched
  • Identify Issuesunmatched
  • Javaunmatched
  • Linux Operating Systemunmatched
  • Python Programming/Scripting Languageunmatched
  • Quality Assuranceunmatched
  • Scalable System Developmentunmatched
  • Technical Supportunmatched
  • Unix Operating Systemsunmatched

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