VP, KDB Developer; Time Analytics

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.

• 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 (ticker plant, 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

• 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

• 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

• Opportunity to work on mission‑critical, real‑time analytics systems
• Direct exposure to front‑office trading environments and workflows
• Ownersh…