Kdb+/Q Engineer – Real-Time Data & 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.Key ResponsibilitiesReal-Time Data & Analytics EngineeringDesign and develop low-latency kdb+/q systems to ingest, process, and analyze real-time market data, ticker data, and order/execution flowsBuild and optimize streaming analytics pipelines to support intraday monitoring and analytics use casesDevelop efficient time-series data models and query frameworks for both real-time and historical datasetsEnhance system performance for high-throughput, low-latency analytics workloadsPlatform Development & ArchitectureArchitect and implement scalable kdb infrastructure (tickerplant, RDB, HDB) supporting enterprise data needsDevelop and maintain API-driven data services for downstream consumers, including trading and analytics applicationsBuild reusable, library-grade components to standardize data access, transformation, and analytics functionalityImplement secure access controls and authentication layers for data platform usageData Quality, Monitoring & ControlsDevelop and automate data quality checks across:real-time market datatransactional and execution datareference datasetsBuild monitoring and alerting frameworks to track:latencydata completenesssystem performance and healthPartner with production support teams to troubleshoot real-time data issues and anomaliesCollaboration & DeliveryCollaborate with traders, quants, and engineering teams to translate business requirements into scalable technical solutionsContribute across the full software development lifecycle (design, development, testing, deployment, and optimization)Produce clear and comprehensive technical documentation and system designsEnsure adherence to best coding practices and industry standardsRequired Qualifications7+ years of experience working with large-scale financial datasets, including:real-time market dataorder/execution datapositions or time-series data7+ years of hands-on Kdb+/Q experience, including real-time data systemsStrong experience working in Linux/Unix environmentsSolid understanding of:time-series databases and architecturesreal-time data streaming and processingStrong analytical, problem-solving, and communication skillsAbility to work effectively in a fast-paced, collaborative environmentPreferred QualificationsExperience in electronic trading or algorithmic trading environmentsFamiliarity with:market microstructure and trading workflowslow-latency system design principlesWorking knowledge of Python or Java for integration and toolingExperience implementing authentication and entitlement frameworksExposure to cloud platforms (e.g., AWS)Experience with Agile development methodologiesKey AttributesStrong ownership mindset and ability to deliver end-to-end solutionsAbility to think critically and propose innovative ideasProven track record of delivering high-quality systems in production environmentsCollaborative team player with strong communication skillsWhat This Role OffersOpportunity to work on mission-critical, real-time analytics systemsDirect exposure to front-office trading environments and workflowsOwnership of high-impact data infrastructure and platformsA combination of kdb engineering, real-time systems, and advanced analytics development