kdb+ Contractor (Capital Markets)

Dataintellect; New York (NY); On-site; USD 190,000 - 260,000; Full time

Job summary

Data Intellect in New York is seeking a Senior kdb+ Consultant to lead high-performance, time-series data solutions for financial institutions.

You will design scalable kdb+ architectures, mentor developers, and own the full lifecycle from development to production support, collaborating with quants, traders, and analysts to translate business needs into efficient code. A strong background in capital markets and Unix/Linux scripting is required.

Qualifications

• 7+ years of hands-on kdb+ development.
• Experience designing and scaling kdb+ architectures.
• Strong Unix/Linux and scripting background.
• Demonstrated technical leadership in fast-paced projects.
• Excellent communication with technical and non-technical stakeholders.
• Capital markets or investment banking domain experience.
• Commitment to clean, performant code and continuous improvement.

Responsibilities

• Lead technical delivery on client projects, setting quality and performance standards.
• Design and implement robust kdb+ architectures for large time-series data.
• Collaborate with quants, traders, and analysts to translate business needs into efficient code.
• Mentor and guide junior and mid-level developers.
• Own the full development lifecycle: develop, test, support and maintain client applications.
• Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies.

Skills

kdb+ development

q language

time-series data

Unix/Linux scripting

technical leadership

communication skills

capital markets experience

Python

AWS

GCP

Azure

time-series databases

Tools

Python

AWS

GCP

Azure

Time-series databases

Job description

As a Senior kdb+ Consultant at [DI] you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data-intensive financial institutions.

You'll:

• Lead technical delivery on client projects, setting the standard for quality and performance.
• Design and implement robust kdb+ architectures that handle 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, fostering a culture of technical excellence.
• Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications
• Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies.

What You Bring

• 7+ years of hands-on kdb+ development, 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 to explain complex systems to both technical and non-technical stakeholders.
• Experience in capital markets or investment banking, understanding of the domain and its demands.
• A passion for clean, performant code and continuous improvement.

Bonus Points For:

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

Contract and permanent opportunities available.

Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk and analytics for some of the world's most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We're growing, fast!

Fair Employment & Equal Opportunities

We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.