KDB+/Q Developer - Real-Time Analytics (Equities)

Requirements:

• 7+ years of hands-on Kdb+/Q experience, including work with real-time data systems.
• 7+ years of experience with large-scale financial datasets, including real-time market data, order and execution data, positions, or time-series data.
• Strong experience in Linux/Unix environments.
• Solid understanding of time-series databases and architectures, and real-time data streaming and processing.
• Strong analytical, problem-solving, and communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
• Preferred: experience in electronic or algorithmic trading; familiarity with market microstructure, trading workflows, and low-latency system design; working knowledge of Python or Java; experience with authentication and entitlement frameworks; cloud platform exposure such as AWS; and Agile development experience.
• Strong ownership, critical thinking, and collaboration skills, with a record of delivering high-quality production systems end to end.

Responsibilities:

• Design and develop low-latency Kdb+/Q systems for ingesting, processing, and analyzing real-time market data, ticker data, and order and execution flows.
• Build and optimize streaming analytics pipelines for intraday monitoring and analytics.
• Develop time-series data models and query frameworks for real-time and historical datasets, and improve performance for high-throughput, low-latency workloads.
• Architect and implement scalable Kdb infrastructure, including tickerplant, RDB, and HDB components.
• Develop and maintain API-driven data services and reusable components for data access, transformation, and analytics.
• Implement secure access controls and authentication for platform users.
• Automate data quality checks across real-time market, transactional, execution, and reference data.
• Build monitoring and alerting for latency, data completeness, system performance, and health; work with production support to investigate real-time data issues and anomalies.
• Partner with traders, quants, and engineering teams to translate business needs into scalable technical solutions.
• Contribute throughout the software development lifecycle, including design, development, testing, deployment, and optimization.
• Create technical documentation and system designs, and follow coding best practices and industry standards.

Technologies:

• API
• AWS
• Architect
• Cloud
• Support
• Java
• Linux
• Python
• Unix

More

We are seeking an experienced Kdb+/Q Engineer for our Equities Data & Analytics Team in New York, NY. Our team builds and enhances real-time analytics platforms and low-latency data infrastructure for electronic trading and market data workflows, serving trading, quantitative, and risk teams. The role involves close collaboration with traders, quants, developers, QA, and production support in a fast-paced environment. We offer exposure to front-office trading, ownership of high-impact, mission-critical data platforms, and work spanning Kdb engineering, real-time systems, and advanced analytics. The full-time salary range is $185,000–$225,000.

last updated 43 week of 2026