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

$185k - $225k

Jefferies

Job Description

Kdb+/Q Engineer – Real-Time Data & Analytics (Equities)

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Location: New York, NY

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Overview

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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.

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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.

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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.

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Key Responsibilities

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Real-Time Data & Analytics Engineering

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  • Design and develop low-latency kdb+/q systems to ingest, process, and analyze real-time market data, ticker data, and order/execution flows
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  • Build and optimize streaming analytics pipelines to support intraday monitoring and analytics use cases
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  • Develop efficient time-series data models and query frameworks for both real-time and historical datasets
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  • Enhance system performance for high-throughput, low-latency analytics workloads
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Platform Development & Architecture

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  • Architect and implement scalable kdb infrastructure (tickerplant, RDB, HDB) supporting enterprise data needs
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  • Develop and maintain API-driven data services for downstream consumers, including trading and analytics applications
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  • Build reusable, library-grade components to standardize data access, transformation, and analytics functionality
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  • Implement secure access controls and authentication layers for data platform usage
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Data Quality, Monitoring & Controls

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  • Develop and automate data quality checks across:
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  • real-time market data
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  • transactional and execution data
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  • reference datasets
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  • Build monitoring and alerting frameworks to track:
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  • latency
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  • data completeness
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  • system performance and health
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  • Partner with production support teams to troubleshoot real-time data issues and anomalies
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Collaboration & Delivery

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  • Collaborate with traders, quants, and engineering teams to translate business requirements into scalable technical solutions
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  • Contribute across the full software development lifecycle (design, development, testing, deployment, and optimization)
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  • Produce clear and comprehensive technical documentation and system designs
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  • Ensure adherence to best coding practices and industry standards
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Required Qualifications

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  • 7+ years of experience working with large-scale financial datasets, including:
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  • real-time market data
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  • order/execution data
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  • positions or time-series data
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  • 7+ years of hands-on Kdb+/Q experience , including real-time data systems
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  • Strong experience working in Linux/Unix environments
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  • Solid understanding of:
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  • time-series databases and architectures
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  • real-time data streaming and processing
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  • Strong analytical, problem-solving, and communication skills
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  • Ability to work effectively in a fast-paced, collaborative environment
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Preferred Qualifications

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  • Experience in electronic trading or algorithmic trading environments
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  • Familiarity with:
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  • market microstructure and trading workflows
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  • low-latency system design principles
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  • Working knowledge of Python or Java for integration and tooling
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  • Experience implementing authentication and entitlement frameworks
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  • Exposure to cloud platforms (e.g., AWS)
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  • Experience with Agile development methodologies
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Key Attributes

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  • Strong ownership mindset and ability to deliver end-to-end solutions
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  • Ability to think critically and propose innovative ideas
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  • Proven track record of delivering high-quality systems in production environments
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  • Collaborative team player with strong communication skills
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What This Role Offers

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  • Opportunity to work on mission-critical, real-time analytics systems
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  • Direct exposure to front-office trading environments and workflows
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  • Ownership of high-impact data infrastructure and platforms
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  • A combination of kdb engineering, real-time systems, and advanced analytics development
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Primary Location Full Time Salary Range of $185,000 - $225,000.

Vacancy posted 3 days ago
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