
Data Intellect
Open Positions at Data Intellect
25 open positions
Develop quantitative risk, hedging, and portfolio analytics that support a critical capital markets risk platform. You’ll combine mathematical expertise with production software development and collaborate closely with engineering, Risk, Technology, and Front Office teams.
Build and ship production-grade agentic AI systems for banks, hedge funds, and other data-intensive clients. You’ll work across cloud and locally hosted models, turning ambiguous client problems into maintainable solutions while contributing to the company’s growing AI practice.
Join Data Intellect as a mid-level Python Engineer delivering OneTick solutions, data applications, and integrations for international capital-markets clients. The role combines hands-on engineering, client problem-solving, and structured product expertise development.
Field Solutions Engineer responsible for building scalable AI, data, and automation solutions for enterprise clients while providing consultative architecture guidance. The contract role combines hands-on software engineering, solution design, and technical client engagement.
Lead the design and delivery of high-performance kdb+ solutions for data-intensive financial institutions. This senior role combines hands-on q development, technical leadership, and client-facing work across trading, risk, and analytics systems.
Build and maintain high-performance kdb+ applications while analyzing large-scale time-series data for capital-markets clients. This client-facing role offers hybrid flexibility, global collaboration, and clear opportunities to deepen your kdb+ expertise.
Lead the design and delivery of high-performance kdb+ solutions for data-intensive financial institutions. This senior role combines hands-on q development, technical leadership, client collaboration, and mentoring in capital-markets environments.
The kdb+ Engineer develops high-performance client applications and analyzes large-scale time-series data for capital markets clients. This hybrid role combines hands-on q and kdb+ development, client collaboration, project delivery, and mentoring.
Lead the design and delivery of high-performance kdb+ and q solutions for data-intensive financial institutions. This senior role combines hands-on engineering, client collaboration, technical leadership, and mentorship in capital markets environments.
Build and maintain high-performance kdb+ applications while analyzing large-scale time-series data for capital markets clients. This client-facing role offers mentorship, global collaboration, and opportunities to deepen kdb+ expertise.
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