Jefferies

1 week ago

VP, KDB Developer (Real Time Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 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

Website LinkedIn

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Jefferies

1 week ago

VP, KDB Developer (Real Time Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

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

Website LinkedIn