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

- **Company:** Jefferies Llc
- **Location:** Hoboken, NJ, United States
- **Experience:** Expert
- **Salary:** $185,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Algorithmic Trading, Amazon Web Services, Business Analytics Applications, Data Analysis, Databases, Data as a Services, Data Validation, Data Infrastructure, Data Security, Python (Programming Language), Software Engineering, KDB+, Data Analytics, Real Time Data, Api Design, Stream Processing, Stream Analytics
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75861206-kdb-q-developer-real-time-analytics-equities

## About the Role

* 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

## Description

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