The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. Job Description Position Summary MUFG is seeking an experienced and innovative leader to build and mature a next-generation Insider Threat Detection & Response program focused on proactive threat discovery through artificial intelligence, behavioral analytics, and advanced detection engineering. This role is responsible for identifying, investigating, and mitigating insider risks before they become security incidents and for leveraging AI-driven approaches to uncover malicious, negligent, and compromised-user activity across the enterprise. Qualifications • Bachelor's degree in Information Security or a related discipline (or equivalent experience). 5+ years of cybersecurity experience in Insider Threat, Threat Detection, Threat Hunting, SOC, or Incident Response. One or more cybersecurity certifications. • 5+ years leading security teams and enterprise-scale detection programs. Experience designing and operationalizing Insider Threat capabilities within large organizations and communicating effectively with technical and executive audiences. • Deep expertise in Insider Threat, Insider Risk Management, UEBA, detection engineering, threat hunting, security analytics, DLP, identity and access management, and enterprise investigation methodologies. • Strong understanding of AI, machine learning, anomaly detection, behavioral analytics, LLMs, AI agents, RAG architectures, and automated investigation workflows. Ability to translate AI capabilities into measurable security outcomes. • Microsoft Defender, Microsoft Purview Insider Risk Management, SIEM and UEBA platforms, Data Loss Prevention (DLP), cloud security technologies, and working knowledge of Python or similar analytics languages. Key Responsibilities Lead AI-driven insider threat detection strategy; develop behavioral analytics and anomaly detection capabilities; direct proactive threat hunting operations; design detections for data exfiltration, IP theft, fraud, privileged misuse, policy violations, unauthorized AI usage, contractor risk, and account compromise; lead investigations and response activities; partner with Legal, HR, Privacy, Compliance, and Corporate Security; and deliver executive-level risk assessments and response playbooks. Education: • Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position. The typical base pay range for this role is as follows: • New York / New Jersey: $103k-168k • Non-New York / New Jersey: $103k-150k depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below. Our hybrid work schedule is four days on-site and work remotely one day per week. MUFG Benefits Summary