Teams at Data Intellect

Develop and maintain performant kdb+ applications using q, collaborate with business users and project teams, analyze large-scale time-series data, produce reports, and support timely project delivery. The role also involves testing, stakeholder communication, mentoring junior developers, and contributing to continuous learning. Experience with Unix/Linux and capital markets is valuable, while Python, cloud platforms, AI tooling, and other time-series databases are bonus skills.

Lead client delivery of high-performance kdb+ solutions for capital markets. Design scalable architectures handling billions of time-series data rows, collaborate with quants and traders, write and maintain production code, and mentor engineers. Translate business needs into performant systems while driving technical innovation across kdb+, q, and related technologies.

Develop and maintain high-performance kdb+ applications for financial-market clients. Responsibilities include gathering requirements, coding, testing, supporting project delivery, analyzing real-time and historical time-series data, producing reports, collaborating with clients and project teams, and mentoring junior developers.