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

The Equities Data & Analytics Team is seeking an experienced Kdb+/Q Engineer to design, build, and enhance real-time analytics platforms supporting electronic trading and market data workflows.

This role focuses on developing and maintaining low-latency data infrastructure, processing real-time ticker data alongside large-scale historical datasets, and delivering high-performance analytics solutions used by trading, quantitative, and risk teams.

The successful candidate will operate in a fast-paced environment, partnering closely with traders, quants, developers, QA, and production support teams to create scalable, reliable, and secure data systems., Real-Time Data & Analytics Engineering

• Design and develop low-latency kdb+/q systems to ingest, process, and analyze real-time market data, ticker data, and order/execution flows
• Build and optimize streaming analytics pipelines to support intraday monitoring and analytics use cases
• Develop efficient time-series data models and query frameworks for both real-time and historical datasets
• Enhance system performance for high-throughput, low-latency analytics workloads, * Architect and implement scalable kdb infrastructure (tickerplant, RDB, HDB) supporting enterprise data needs
• Develop and maintain API-driven data services for downstream consumers, including trading and analytics applications
• Build reusable, library-grade components to standardize data access, transformation, and analytics functionality
• Implement secure access controls and authentication layers for data platform usage

Data Quality, Monitoring & Controls

• Develop and automate data quality checks across:
• real-time market data
• transactional and execution data
• reference datasets
• Build monitoring and alerting frameworks to track:
• latency
• data completeness
• system performance and health
• Partner with production support teams to troubleshoot real-time data issues and anomalies

Collaboration & Delivery

• Collaborate with traders, quants, and engineering teams to translate business requirements into scalable technical solutions
• Contribute across the full software development lifecycle (design, development, testing, deployment, and optimization)
• Produce clear and comprehensive technical documentation and system designs
• Ensure adherence to best coding practices and industry standards

• 7+ years of experience working with large-scale financial datasets, including:
• real-time market data
• order/execution data
• positions or time-series data
• 7+ years of hands-on Kdb+/Q experience, including real-time data systems
• Strong experience working in Linux/Unix environments
• Solid understanding of:
• time-series databases and architectures
• real-time data streaming and processing
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively in a fast-paced, collaborative environment, * Experience in electronic trading or algorithmic trading environments
• Familiarity with:
• market microstructure and trading workflows
• low-latency system design principles
• Working knowledge of Python or Java for integration and tooling
• Experience implementing authentication and entitlement frameworks
• Exposure to cloud platforms (e.g., AWS)
• Experience with Agile development methodologies, * Strong ownership mindset and ability to deliver end-to-end solutions
• Ability to think critically and propose innovative ideas
• Proven track record of delivering high-quality systems in production environments
• Collaborative team player with strong communication skills