Top Cyber Security Jobs

Lead technology risk and controls governance for citizen development, translating strategy into projects, releases, and measurable deliverables. Manage scope, timelines, resources, risks, working groups, stakeholder alignment, regulatory requests, and executive reporting. Partner with engineering and business teams on requirements, system implementations, migrations, data reconciliation, control effectiveness, and continuous improvement. Apply authorized AI tools to risk workflows while validating outputs for security, auditability, and regulatory compliance.

Leads firmwide technology and cyber risk assessments, evaluates control effectiveness, develops risk reporting, monitors emerging threats and regulations, and drives remediation and governance activities. Partners with technology, audit, compliance, and risk teams to strengthen security and resilience, support regulatory examinations, and translate technical findings into business impact narratives. Requires expertise in technology risk frameworks, AI risk governance, data security, and control assurance.

Lead technology risk and controls activities for citizen development governance. Provide global user support, manage intake and issue resolution, create training and self-service materials, communicate policy and system changes, maintain knowledge repositories, and improve workflows using support metrics. Partner with product, engineering, governance, and risk stakeholders to ensure controls, documentation, auditability, and regulatory expectations are met. Apply enterprise-authorized AI responsibly to synthesize evidence and support control testing and reporting.

Lead blockchain-focused threat intelligence and detection efforts: design security strategies, monitor on-chain/off-chain data, produce actionable intelligence, collaborate cross-functionally, and improve security posture for smart contracts and digital assets.

Lead Security Engineer responsible for designing and building secure Python-based services, conducting threat modeling, vulnerability assessments, secure code development/reviews, and integrating AI-assisted security practices across cloud, container, and CI/CD environments while working with stakeholders to ensure auditability and resiliency.

Designs and implements enterprise cybersecurity architecture and controls for cloud-based applications. Assesses emerging technologies, identifies risks, recommends mitigations, validates AI-assisted security outputs, and guides business teams, vendors, and senior stakeholders. The role advances security frameworks, SDLC practices, control testing, remediation quality, and operational resiliency while serving as a cybersecurity subject matter expert and mentoring junior professionals.

Leads software engineering for agentic identity and access management systems. Develops secure production code, establishes IAM standards for agents and services, evaluates architectures, automates remediation, and promotes AI-assisted engineering practices. Requires expertise in Java or Python, OAuth 2.0, OIDC, token authorization, non-human identity security, agentic integration standards, responsible AI, CI/CD, resiliency, and cloud technologies.

Evaluate and test technology control environments to ensure SOX and regulatory alignment. Execute testing, document processes and evidence, validate issues, drive remediation with control owners, lead walkthroughs, and improve testing methodologies and reporting to strengthen technology risk and compliance.

Lead detection and response for blockchain and enterprise environments: design security strategy, develop detections and playbooks, analyze on-chain/off-chain signals, drive investigations and remediation, use enterprise AI to accelerate threat intelligence, and collaborate across teams to improve monitoring and security posture.

Design, build, and modernize secure authentication and authorization platforms. Integrate OAuth2/OpenID Connect/SAML, evaluate authentication vendors, prototype anti-fraud/biometric solutions, collaborate globally, apply cloud-native patterns, and use AI-assisted development tools while enforcing secure coding and quality practices.