Red Team Operator, Assistant Vice President

Requirements

• Bachelor's degree in computer science or related fields; applicable specialized training; or equivalent work experience - equally preferable
• Certified Red Team Operator (CRTO), CRTE, GRTP, or other red team certifications desired
• Understanding of one or more compliance frameworks: NIST, FFIEC, GLBA, SOX, PCI, etc.
• 5-7 years of experience conducting penetration-testing/red team engagements
• Experience in planning and executing advanced attacks that evade network and endpoint security controls to demonstrate the potential adverse impact caused by a threat actor
• Experience with implementing red team assessment methods, tools, and techniques
• Experience in AI red teaming, including adversarial testing, prompt injection analysis, and vulnerability assessments of large language models
• Hands-on experience with agentic AI, LLMs, and custom ML model development
• Familiarity with enterprise cloud AI platforms (e.g., Azure AI Foundry, AWS Bedrock, or GCP Vertex AI)
• Experience leading large-scale technical initiatives, including security pipelines, data management, model deployment, and automation
• Deep understanding of offensive security techniques and AI-enhanced threat modeling
• Experience with AI-enhanced SOAR, adversarial ML, and AI security risk assessment
• Proficiency with open-source AI frameworks and tooling (e.g., PyTorch, TensorFlow, SageMaker)
• Other:
• As per MUFG's work policy, must work onsite 4 days and 1 day remotely.
• The typical base pay range for this role is as follows:
• New York / New Jersey: $115k - $153k
• Non-New York / New Jersey: $112k-$141k
• Depending on job-related knowledge,

Benefits

Additional Information

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 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 Summary: Being a part of the red team gives candidates a chance to work at the forefront of cybersecurity-driving improvements in detection capabilities and strengthening our defenses through the integration of advanced AI. This role will focus on embedding AI/ML and large language models into security operations, so deep expertise in these areas, as well as offensive and defensive security and enterprise-scale data operations, will be crucial. Major Responsibilities: Developing guidelines for the usage, control, maintenance and audit-readiness of information and computer resources that are used in the distributed processing environment. Analyzing and addressing customer security requirements for all business applications existing on a distributed platform. Assisting in the evaluation, selection, and installation of security software products for distributed platforms. Document and formally report testing initiatives, along with remediation recommendations and validation Conduct research into real-world threat actor tactics, techniques, and procedures (TTPs) and apply that knowledge to red team exercises Assess new technologies, software applications, and devices for potential avenues of exploitation Develop exploits based on identified vulnerabilities Develop scripts, tools, or methodologies to enhance red team processes Work with teammates to consistently learn and share advanced skills and foster team excellence Drive architectural evolution to enable scalable, secure AI deployment Develop and operationalize custom ML/LLM models for cybersecurity use cases Implement AI-driven threat hunting, anomaly detection, and automated incident response Advance preventative, detective, and responsive security controls through applied AI innovation Partner with offensive security teams to strengthen red teaming using AI and adversarial simulations Evaluate emerging AI capabilities for cybersecurity and mature predictive, proactive threat response

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