Teams at Data Intellect

Develop and maintain high-performance kdb+ applications for capital markets clients. Collaborate with business users to define requirements, analyze large-scale time-series data, produce reports, support project delivery, and contribute to testing, documentation, mentoring, and continuous improvement. The role requires hands-on q and kdb+ development in Unix/Linux environments, with opportunities to work alongside experienced specialists and advance technical and leadership skills.

Lead delivery of high-performance kdb+ solutions for capital markets clients. Design scalable architectures handling billions of time-series data rows, collaborate with quants and traders, mentor developers, and own the full development lifecycle. The role requires deep q and kdb+ expertise, technical leadership, Unix/Linux proficiency, and experience in capital markets or investment banking.

Lead technical delivery for capital markets clients by designing, implementing, scaling, and maintaining high-performance kdb+ architectures handling large time-series datasets. Collaborate with quants, traders, and analysts, translate business requirements into performant q code, mentor developers, and drive technical innovation across the full development lifecycle.