VP, KDB Developer (Real Time Analytics)

Jefferies; New York (NY); On-site; USD 185,000 - 225,000; Full time

Job summary

Jefferies’ Equities Data & Analytics team seeks an experienced Kdb+/Q Engineer to design, build, and enhance real-time analytics platforms supporting electronic trading and market data workflows. You will develop low-latency data infrastructure, ingest ticker data, and collaborate with traders, quants, developers, QA, and production support to deliver scalable, secure data systems.

This hands-on role requires deep expertise in kdb+/Q, time-series data, and API services, with a strong ownership

Qualifications

• 7+ years of experience with large-scale real-time financial data.
• 7+ years of Kdb+/Q experience with real-time data systems.
• Strong Linux/Unix expertise.
• Experience with time-series databases and streaming.
• Excellent analytical and communication skills.

Responsibilities

• Design, build, and optimize low-latency kdb+/q analytics pipelines.
• Ingest and process real-time ticker data and orders.
• Develop scalable data services and APIs for trading apps.
• Collaborate with traders, quants, and engineers.
• Ensure data quality, monitoring, and secure access.

Skills

Kdb+/Q

Real-time data systems

Linux/Unix

Time-series data

Communication skills

Problem-solving

Team collaboration

Job description

JOB 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.

Key Responsibilities

• 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
• Platform Development & Architecture:
  • 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
• Key Attributes:
  • 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

Required Qualifications

• 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

Preferred Qualifications

• 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

What This Role Offers

• Opportunity to work on mission‑critical, real‑time analytics systems
• Direct exposure to front‑office trading environments and workflows
• Ownership of high‑impact data infrastructure and platforms
• A combination of kdb engineering, real‑time systems, and advanced analytics development

Primary Location: Full Time Salary Range of $185,000 - $225,000.

Equal Employment Opportunity

Jefferies is committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law.