Job Description
Senior KDB+/Q Developer - Equities Data & Analytics
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A leading global financial-services organization is seeking a Senior KDB+/Q Developer to join a technology organization supporting Equities Data & Analytics.
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This is a senior hands-on engineering position focused on the real-time and historical data infrastructure supporting electronic trading, market data, analytics, and front-office workflows. The engineer will design, develop, optimize, and support high-volume KDB systems where performance, scalability, reliability, and low latency are critical.
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The position is based in New York City with a hybrid schedule requiring three days onsite per week.
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What You Will Do
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- Design and develop production KDB+/Q applications supporting real-time financial-data workflows.
- Build and enhance tickerplant, RDB, HDB, streaming, and historical-data architectures.
- Optimize KDB queries, schemas, ingestion pipelines, memory usage, and platform performance.
- Engineer systems processing large volumes of market, order, execution, transaction, position, and reference data.
- Diagnose and resolve latency, throughput, stability, and production-performance issues.
- Participate throughout design, development, testing, deployment, troubleshooting, and production optimization.
- Integrate KDB environments with Python or Java applications and APIs.
- Collaborate with traders, quantitative professionals, developers, QA, and production-support teams.
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Required Experience
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- 7+ years of KDB/Q and financial-data experience.
- Deep hands-on KDB+/Q development expertise.
- Strong real-time data-processing experience.
- Experience engineering low-latency systems.
- Financial-services industry experience.
- Experience with large financial or time-series datasets.
- Strong understanding of tickerplant, RDB, HDB, streaming, and historical-data architectures.
- Python or Java development experience alongside KDB/Q.
- Strong Linux/Unix experience.
- Experience optimizing Q queries, schemas, pipelines, and application performance.
- Ability to troubleshoot complex production environments.
- Strong communication skills working with technical and front-office stakeholders.
- Ability to work onsite in New York City three days per week.
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Preferred Experience
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- Electronic or algorithmic trading
- Equities
- Market microstructure
- Market, order, or execution data
- Ownership of tickerplant/RDB/HDB architecture
- AWS
- Authentication or entitlement frameworks
- Direct interaction with traders and quantitative teams
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