Teams at Cantor Fitzgerald

Build and maintain market, economic, research, news, and internal data pipelines for AI and quantitative models. Design scalable data architectures, implement data quality controls, manage metadata and lineage, create APIs and model-ready datasets, and optimize pipeline performance. Collaborate with data scientists and analysts while ensuring data security, privacy, permissions, and reliable integration across tools and models.

Lead cloud security engineering across AWS/Azure/GCP: manage CSPM/CNAPP platforms, implement policy-as-code and IaC controls, resolve complex cloud security issues, mentor juniors, define requirements, and champion ITIL change/incident/problem processes.

Develop and integrate pricing models within a resilient, real-time event-driven framework. Contribute to quantitative libraries, implement data-driven development (unit tests, mocking, back-testing), collaborate with quants, data scientists, and engineers, research innovative solutions, and ensure conduct risk awareness while working with global teams.