VP, KDB Developer (Real Time Analytics)
$185k - $225kJefferies
Overview 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 Responsibilities 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 Platform Development & Architecture * 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
- Produce clear and comprehensive technical documentation and system designs
- Ensure adherence to best coding practices and industry standards
- 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
- 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
- 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
- Opportunity to work on mission-critical, real-time analytics systems
- Direct exposure to front-office trading environments and workflows
- Ownership of high-impact data infrastructure and platforms
- A combination of kdb engineering, real-time systems, and advanced analytics
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