Jobs at Qube Research & Technologies

Lead end-to-end delivery of infrastructure projects supporting electronic trading sites, colocation venues, regional data centers, and exchange connectivity. Coordinate compute, network engineering, data center operations, vendors, brokers, exchanges, and stakeholders. Manage requirements, resources, provisioning, deployments, timelines, risks, blockers, and quality using effective project-management practices and Atlassian JIRA.

As a Quantitative Researcher, you will develop predictive signals using diverse datasets, monitor model performance, and share findings with peers.

As a Quantitative Researcher at QRT, you will create predictive signals using large datasets, lead strategy research cycles, and collaborate with other researchers and teams.

Build and maintain Python data pipelines to ingest, transform, validate, and load financial datasets. Onboard and document new vendor datasets, monitor pipelines, resolve data quality and delivery issues, and collaborate with researchers, analysts, and engineers to ensure reliable data for research and trading.

Build and operate the firm's internal AI application platform: develop production AI services and APIs, implement RAG pipelines, manage vector DBs and retrieval, integrate model serving, ensure reliability and observability, and support agentic workflows and incident response.

The role involves managing data operations, automating processes, monitoring data pipelines, and maintaining operational documentation within QRT.