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 Responsibiliti

esReal-Time Data & Analytics Engineeri

• ngDesign and develop low-latency kdb /q systems to ingest, process, and analyze real-time market data, ticker data, and order/execution flo
• wsBuild and optimize streaming analytics pipelines to support intraday monitoring and analytics use cas
• esDevelop efficient time-series data models and query frameworks for both real-time and historical datase
• tsEnhance system performance for high-throughput, low-latency analytics workloa

ds
Platform Development & Architect

• ureArchitect and implement scalable kdb infrastructure (tickerplant, RDB, HDB) supporting enterprise data ne
• edsDevelop and maintain API-driven data services for downstream consumers, including trading and analytics applicati
• onsBuild reusable, library-grade components to standardize data access, transformation, and analytics functional
• ityImplement secure access controls and authentication layers for data platform us

age
Data Quality, Monitoring & Cont

• rolsDevelop and automate data quality checks acr
• oss:real-time market
• datatransactional and execution
• datareference data
• setsBuild monitoring and alerting frameworks to tr
• ack:lat
• encydata complete
• nesssystem performance and he
• althPartner with production support teams to troubleshoot real-time data issues and anoma

lies
Collaboration & Del

• iveryCollaborate with traders, quants, and engineering teams to translate business requirements into scalable technical solu
• tionsContribute across the full software development lifecycle (design, development, testing, deployment, and optimiza
• tion)Produce clear and comprehensive technical documentation and system de
• signsEnsure adherence to best coding practices and industry stan

dards
Required Qualific

• ations7 years of experience working with large-scale financial datasets, incl
• uding:real-time marke
• t dataorder/executio
• n datapositions or time-serie
• s data7 years of hands-on Kdb /Q experience, including real-time data s
• ystemsStrong experience working in Linux/Unix enviro
• nmentsSolid understandi
• ng of:time-series databases and archite
• cturesreal-time data streaming and proc
• essingStrong analytical, problem-solving, and communication
• skillsAbility to work effectively in a fast-paced, collaborative envir

onment
Preferred Qualifi

• cationsExperience in electronic trading or algorithmic trading envir
• onmentsFamiliarit
• y with:market microstructure and trading wo
• rkflowslow-latency system design pri
• nciplesWorking knowledge of Python or Java for integration and
• toolingExperience implementing authentication and entitlement fra
• meworksExposure to cloud platforms (e.g
• ., AWS)Experience with Agile development method

ologies
Key At

• tributesStrong ownership mindset and ability to deliver end-to-end s
• olutionsAbility to think critically and propose innovati
• ve ideasProven track record of delivering high-quality systems in production envi
• ronmentsCollaborative team player with strong communicatio

n skills
What This Ro

• le OffersOpportunity to work on mission-critical, real-time analytic
• s 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 de