Jobs at BNY

Lead SOC alert triage, incident investigations, root cause analysis, containment, eradication, and recovery. Correlate SIEM, EDR, network, cloud, and identity telemetry; maintain detections and playbooks; conduct threat hunting; and coordinate incident response. Mentor analysts, support purple-team exercises, produce executive incident reporting, improve controls, and maintain audit-ready documentation. The role requires enterprise SOC experience, scripting, security certifications or equivalent expertise, and shift, weekend, and holiday flexibility.

Lead production and application support for business-critical banking and financial services applications. Manage incidents, problems, changes, service requests, root-cause analysis, remediation, monitoring, stakeholder communication, SLAs, regulatory compliance, and operational risk. Support Unix/Linux environments, Informatica ETL workflows, file transfers, batch processing, scheduling, data integration platforms, Python automation, and Snowflake administration in a customer-facing production environment.

Leads data management and quantitative analysis strategy, ensuring data integrity, accuracy, and governance across platforms. Translates complex data insights into business strategies, drives process automation and continuous improvement, and collaborates cross-functionally to support data-driven decisions. The role also mentors team members, promotes innovation, and advances data management practices through emerging technologies and industry trends.

Lead product vision, strategy, and development for shared platform services (reporting, access, authentication). Prioritize backlogs, define requirements, drive roll-outs, ensure adoption against OKRs, and coach product owners to improve product management practices across pods.

Lead data science initiatives using advanced statistical techniques and machine learning to produce actionable insights. Partner with cross-functional teams to design data-driven solutions, manage and ensure integrity of large datasets, develop predictive models to forecast trends, and communicate results to stakeholders while staying current on emerging technologies.