Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG) one of the world’s leading financial groups. Across the globe we’re 150000 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. The Assistant Vice President Red Team & AI Security supports the planning execution and reporting of adversary simulation control validation and AI security assessment activities across the enterprise. This role is hands-on and operator-focused combining offensive security tradecraft with AI analysis responsibilities to help identify exploitable weaknesses validate defensive controls and translate findings into practical remediation guidance.
Operational Planning & Engagement Support Support the planning and execution of Red Team Purple Team adversary simulation and control validation engagements. Assist with target research scope development rules of engagement infrastructure preparation and operational documentation. Coordinate with defensive engineering risk and business stakeholders to ensure engagements are well-structured and findings are actionable. Red Team Execution Perform hands-on offensive security testing across network endpoint identity application cloud and selected physical attack surfaces. Execute techniques such as reconnaissance initial access validation privilege escalation lateral movement persistence simulation and control evasion in approved environments. Develop modify and safely use scripts payloads tooling and tradecraft to support realistic adversary emulation. AI Security
Support adversarial testing of AI and LLM systems including prompt injection data leakage tool misuse model behavior abuse and guardrail bypass scenarios. Analyze AI-enabled applications copilots automation workflows agents plugins APIs and data integrations for security and abuse risks. Document AI security observations in clear business and technical terms including risk impact exploitability control gaps and recommended remediation. Use AI-assisted analysis responsibly to accelerate research data review reporting detection mapping and test-case development. Track emerging AI threats attacker use of AI and relevant industry guidance to inform Red Team scenarios and validation priorities. Threat Tradecraft & Capability Development Drive research into real‑world threat actor TTPs and emerging AI‑enabled attack techniques. Sponsor development of red team tools scripts and repeatable methodologies to increase realism scale and efficiency. Establish standards for tooling governance safe use and audit readiness. Reporting Documentation & Collaboration Prepare engagement notes evidence packages attack narratives findings remediation guidance and executive-ready summaries. Map observations to relevant frameworks controls detections and business risk themes where appropriate. Partner with blue team cyber defense engineering governance and application teams to validate remediation and improve control effectiveness.
Experience 4+ years of experience in offensive security red team operations penetration testing application security cloud security cyber defense or related security assessment roles. Hands-on experience supporting security assessments adversary emulation control validation vulnerability analysis or threat-informed testing. Exposure to AI security LLM testing AI governance data security machine learning workflows or secure use of AI-assisted tools is preferred.
Working knowledge of common attack techniques across Windows Linux Active Directory web applications APIs cloud platforms and identity systems. Ability to write or modify scripts and tools using languages such as Python PowerShell Bash JavaScript or similar. Familiarity with offensive security tools vulnerability validation command-and-control concepts detection engineering concepts and MITRE ATT&CK mapping. Understanding of AI security risks such as prompt injection excessive agency insecure tool use sensitive data exposure insecure plugins model abuse and AI-enabled social engineering. Education & Certifications (Preferred) Bachelor’s degree in Cybersecurity Computer Science Information Technology Engineering Data Science or equivalent experience. Security certifications such as OSCP GPEN GWAPT GCIH GCIA GSEC CISSP or similar are preferred but not required. Familiarity with regulatory risk or control frameworks such as NIST FFIEC GLBA SOX PCI or internal control standards is beneficial. 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 $90k-$153k Non–New York / New Jersey $90k-$141k 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
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)
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