KDB+/Q Developer - Real Time Analytics (Equities)
$185k - $225kJefferies
Job Description
Kdb+/Q Engineer – Real-Time Data & Analytics (Equities)
\nLocation: New York, NY
\n \nOverview
\nThe 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.
\nThis 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.
\nThe 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.
\n \nKey Responsibilities
\nReal-Time Data & Analytics Engineering
\n- \n
- Design and develop low-latency kdb+/q systems to ingest, process, and analyze real-time market data, ticker data, and order/execution flows \n
- Build and optimize streaming analytics pipelines to support intraday monitoring and analytics use cases \n
- Develop efficient time-series data models and query frameworks for both real-time and historical datasets \n
- Enhance system performance for high-throughput, low-latency analytics workloads \n
Platform Development & Architecture
\n- \n
- Architect and implement scalable kdb infrastructure (tickerplant, RDB, HDB) supporting enterprise data needs \n
- Develop and maintain API-driven data services for downstream consumers, including trading and analytics applications \n
- Build reusable, library-grade components to standardize data access, transformation, and analytics functionality \n
- Implement secure access controls and authentication layers for data platform usage \n
Data Quality, Monitoring & Controls
\n- \n
- Develop and automate data quality checks across: \n
- real-time market data \n
- transactional and execution data \n
- reference datasets \n
- Build monitoring and alerting frameworks to track: \n
- latency \n
- data completeness \n
- system performance and health \n
- Partner with production support teams to troubleshoot real-time data issues and anomalies \n
Collaboration & Delivery
\n- \n
- Collaborate with traders, quants, and engineering teams to translate business requirements into scalable technical solutions \n
- Contribute across the full software development lifecycle (design, development, testing, deployment, and optimization) \n
- Produce clear and comprehensive technical documentation and system designs \n
- Ensure adherence to best coding practices and industry standards \n
Required Qualifications
\n- \n
- 7+ years of experience working with large-scale financial datasets, including: \n
- real-time market data \n
- order/execution data \n
- positions or time-series data \n
- 7+ years of hands-on Kdb+/Q experience , including real-time data systems \n
- Strong experience working in Linux/Unix environments \n
- Solid understanding of: \n
- time-series databases and architectures \n
- real-time data streaming and processing \n
- Strong analytical, problem-solving, and communication skills \n
- Ability to work effectively in a fast-paced, collaborative environment \n
Preferred Qualifications
\n- \n
- Experience in electronic trading or algorithmic trading environments \n
- Familiarity with: \n
- market microstructure and trading workflows \n
- low-latency system design principles \n
- Working knowledge of Python or Java for integration and tooling \n
- Experience implementing authentication and entitlement frameworks \n
- Exposure to cloud platforms (e.g., AWS) \n
- Experience with Agile development methodologies \n
Key Attributes
\n- \n
- Strong ownership mindset and ability to deliver end-to-end solutions \n
- Ability to think critically and propose innovative ideas \n
- Proven track record of delivering high-quality systems in production environments \n
- Collaborative team player with strong communication skills \n
What This Role Offers
\n- \n
- Opportunity to work on mission-critical, real-time analytics systems \n
- Direct exposure to front-office trading environments and workflows \n
- Ownership of high-impact data infrastructure and platforms \n
- A combination of kdb engineering, real-time systems, and advanced analytics development \n
Primary Location Full Time Salary Range of $185,000 - $225,000.
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