Top Cybersecurity Jobs

Evaluate and mature cybersecurity capabilities using frameworks such as NIST CSF, analyze cyber risks and vulnerabilities, lead control assessments, track maturity objectives, and develop executive and technical risk reports. Collaborate with stakeholders across business lines to improve governance, metrics, controls, and remediation activities. Translate technical findings into actionable insights and coordinate cybersecurity reporting across multiple domains.

Leads cybersecurity capability advancement, third-party risk management, control and risk assessments, issue remediation, and cyber-risk reporting. Uses security frameworks, tools, automation, and data analysis to identify trends and mitigation opportunities. Presents insights to senior leaders, improves monitoring workflows, supports incident analysis, and mentors cybersecurity associates.

Leads cyber program delivery and transformation initiatives, coordinating cross-functional teams to implement secure capabilities such as AI, data protection, cyber operations, SIEM, cloud security, and governance. Responsibilities include managing technical risks, driving execution and accountability, influencing stakeholders, simplifying complex technical decisions, and potentially leading program managers. Requires substantial program and people management experience, with cybersecurity, cloud, distributed systems, Agile, and regulated-environment experience preferred.

Performs technology control testing and cybersecurity risk assessments for Capital One’s technology organization. Designs and executes test plans, identifies control gaps, documents findings, evaluates compliance, and recommends mitigation strategies. The role communicates risk results to stakeholders, manages testing engagements, analyzes cyber risk metrics, and supports improvements across identity and access management, cloud technologies, networks, applications, and data environments.

Lead a team of data science and risk professionals to analyze high-volume transaction data, develop and deploy predictive fraud models and strategies, collaborate with internal and external stakeholders, and continuously improve data extraction and modeling processes to detect and block fraudulent transactions while minimizing false positives.