Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

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

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.

• 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.

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.

•Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

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](

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.