Jobs at Cantor Fitzgerald

Plan, implement, and maintain identity and access management systems across cloud and on-premises environments. Manage authentication, privileged access, identity governance, cloud IAM, DevSecOps integrations, automation, documentation, incident response, audits, and compliance activities. Advise technical teams on security controls, monitor IAM metrics, support remediation tracking, and coordinate regional incident response using enterprise service-management tools.

Lead the implementation, configuration, and optimization of Oracle Fusion HCM Learning and Talent Management modules. Translate business requirements into scalable solutions, manage quarterly release impacts, develop reports and analytics, perform data loads and conversions, support integrations, troubleshoot system issues, and ensure data validation, reconciliation, compliance, and integrity. Serve as a trusted advisor to HR, Talent, and Learning stakeholders while coordinating with technical integration teams.

Develop and productionize machine learning models and AI agents for financial-market intelligence and client workflows. Responsibilities include forecasting, sentiment analysis, market classification, LLM/RAG agent development, backtesting, hallucination testing, governance, human-review controls, provider benchmarking, regulatory compliance, and cross-functional collaboration. The role also provides technical leadership and mentorship while applying advances in AI and machine learning to financial markets.

Work with Risk Management to gather requirements and develop/enhance risk systems. Build data analysis processes, valuations, and custom measures; create dashboards and reports; integrate systems with trading and middle-office; manage reference data; document processes, implement source control and deployment best practices, and evaluate new technologies.

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.

Design, develop, and maintain matching engines, FIX gateways, and low-latency trading applications using Java and C++. Implement efficient in-memory data structures, optimize networking and concurrency, troubleshoot production issues, and collaborate with trading, product, and infrastructure teams across the full software development lifecycle.