VP, KDB Developer (Real Time Analytics)

Jefferies
New York
Workplace: OnsiteFull timeUSD 185,000 - 225,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 7+ yearsSkills: ["Analytical","Problem-solving","Communication","Ownership mindset","Collaboration"]

Design, build, and enhance low-latency real-time analytics platforms for electronic trading and market data workflows. Develop kdb+/q systems for streaming ingestion, time-series modeling, and high-throughput analytics; architect kdb infrastructure (tickerplant, RDB, HDB); and deliver API-driven data services. Implement data quality checks, monitoring/alerting, and secure access controls, partnering with traders, quants, developers, QA, and production support to deliver reliable, scalable systems.

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FursaFursa
Jefferies
Jefferies
1 month ago

VP, KDB Developer (Real Time Analytics)

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Last checked: 18 hours agoStatus: Live

Job Summary

Design, build, and enhance low-latency real-time analytics platforms for electronic trading and market data workflows. Develop kdb+/q systems for streaming ingestion, time-series modeling, and high-throughput analytics; architect kdb infrastructure (tickerplant, RDB, HDB); and deliver API-driven data services. Implement data quality checks, monitoring/alerting, and secure access controls, partnering with traders, quants, developers, QA, and production support to deliver reliable, scalable systems.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Sr. Director level

Key Responsibilities

  • •Design and develop low-latency kdb+/q systems to ingest, process, and analyze real-time market/ticker data and order/execution flows.
  • •Build and optimize streaming analytics pipelines for intraday monitoring and analytics use cases.
  • •Develop time-series data models and query frameworks for both real-time and historical datasets while enhancing performance for high-throughput workloads.
  • •Architect scalable kdb infrastructure (tickerplant, RDB, HDB) and maintain API-driven data services for downstream trading and analytics consumers.
  • •Implement data quality checks, monitoring/alerting for latency/completeness/performance, and partner with production support to troubleshoot real-time data issues; collaborate through the full software lifecycle.

Pay and Benefits

Salary: USD 185,000 - 225,000 annually
Perks:Health InsuranceDentalVision401kLife InsuranceDisability InsurancePaid LeaveParental LeaveWellness StipendAnnual Bonus

Key Requirements

  • •7+ years working with large-scale financial datasets, including real-time market data, order/execution data, and time-series/positions data.
  • •7+ years hands-on experience with Kdb+/Q for real-time data systems.
  • •Strong experience in Linux/Unix environments.
  • •Solid understanding of time-series database architectures and real-time data streaming/processing.
  • •Strong analytical, problem-solving, and communication skills in a fast-paced, collaborative environment.
Experience:7+ yearsFinancial servicesElectronic tradingMarket dataReal-time analyticsAlgorithmic trading
Skills:AnalyticalProblem-solvingCommunicationOwnership mindsetCollaboration
Tech Stack:Kdb+QLinuxUnixKdb+/qTickerplantRDBHDBAPIStreaming analyticsTime-series databasesAuthenticationAWSPythonJavaAgile

Company Brief

Jefferies
Global investment banking and capital markets firm providing advisory, underwriting, trading, research, and asset management services to corporations, governments, and institutional investors.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 1962
WebsiteLinkedIn