kdb+ Contractor (Capital Markets)

Data Intellect•New York, NY

About The Position

As a Senior kdb+ Consultant at Data Intellect, you will deliver high-performance, scalable solutions for data-intensive financial institutions. You will lead technical delivery on client projects, design and implement robust kdb+ architectures for large time-series datasets, and work with quants, traders, and analysts to turn business needs into efficient code. The role includes mentoring developers, owning the development lifecycle for client applications, and keeping current with kdb+, q, and emerging technologies. Contract and permanent opportunities are available.

Requirements

  • At least 7 years of hands-on kdb+ development experience, with deep expertise in q and time-series data.
  • Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production.
  • Strong background in Unix/Linux environments and scripting.
  • Demonstrated technical leadership and decision-making in fast-paced projects.
  • Excellent communication skills, including explaining complex systems to technical and non-technical stakeholders.
  • Experience in capital markets or investment banking, with an understanding of the domain and its demands.
  • A passion for clean, performant code and continuous improvement.

Nice To Haves

  • Experience with AI tooling such as Claude or Co-Pilot.
  • Experience with Python, cloud platforms (AWS, GCP, or Azure), or other time-series databases.
  • Exposure to tick data, real-time analytics, or electronic trading systems.
  • People management or team leadership experience.

Responsibilities

  • Lead technical delivery on client projects, setting standards for quality and performance.
  • Design and implement robust kdb+ architectures capable of handling billions of rows of time-series data.
  • Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code.
  • Mentor and guide junior and mid-level developers.
  • Develop, test, support, and maintain code for client applications across the full development lifecycle.
  • Drive innovation by staying current with kdb+, q, and emerging technologies.
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